09-ApproximateDynamicProgramming.ipynb

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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Approximate Dynamic Programming"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
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   ],
   "source": [
    "using Interact\n",
    "import PGFPlots\n",
    "using Distributions\n",
    "include(\"helpers.jl\");"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Function Approximation"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
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       "<path style=\"fill-rule:nonzero;fill:rgb(0%,0%,79.998779%);fill-opacity:1;stroke-width:0.3985;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(0%,0%,100%);stroke-opacity:1;stroke-miterlimit:10;\" d=\"M 163.890344 16.065875 C 163.890344 17.167438 162.999719 18.061969 161.898156 18.061969 C 160.796594 18.061969 159.905969 17.167438 159.905969 16.065875 C 159.905969 14.968219 160.796594 14.073688 161.898156 14.073688 C 162.999719 14.073688 163.890344 14.968219 163.890344 16.065875 Z M 163.890344 16.065875 \" transform=\"matrix(1,0,0,-1,28.012,148.144)\"/>\n",
       "</g>\n",
       "</svg>\n",
       "\n"
      ],
      "text/plain": [
       "PGFPlots.Plots.Scatter(Any[1.0 2.0 … 9.0 10.0; 4.643647507977413 5.070356537926436 … 6.341828390776218 4.973216404386511], nothing, nothing, nothing, nothing, true, nothing)"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Generate some random data\n",
    "using Random\n",
    "Random.seed!(0)\n",
    "s = 1:10\n",
    "u = 4 .- 0.5 * s .+ 0.35 * s.^2 .- 0.03 * s.^3 .+ rand(length(s))\n",
    "PGFPlots.Plots.Scatter(s, u)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
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       "<path style=\"fill-rule:nonzero;fill:rgb(79.998779%,0%,0%);fill-opacity:1;stroke-width:0.3985;stroke-linecap:butt;stroke-linejoin:miter;stroke:rgb(100%,0%,0%);stroke-opacity:1;stroke-miterlimit:10;\" d=\"M 159.905969 14.073688 L 163.890344 14.073688 L 163.890344 18.061969 L 159.905969 18.061969 Z M 159.905969 14.073688 \" transform=\"matrix(1,0,0,-1,28.012,148.144)\"/>\n",
       "</g>\n",
       "</svg>\n",
       "\n"
      ],
      "text/plain": [
       "PGFPlots.Axis(PGFPlots.Plots.Plot[PGFPlots.Plots.Linear(Real[1.0 2.0 … 9.0 10.0; 4.643647507977413 5.070356537926436 … 6.341828390776218 4.973216404386511], nothing, nothing, nothing, nothing, nothing, nothing), PGFPlots.Plots.Scatter(Any[1.0 2.0 … 9.0 10.0; 4.643647507977413 5.070356537926436 … 6.341828390776218 4.973216404386511], nothing, nothing, nothing, nothing, true, nothing)], nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, \"axis\")"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "PGFPlots.Axis([\n",
    "        PGFPlots.Plots.Linear(s, u),\n",
    "        PGFPlots.Plots.Scatter(s, u)\n",
    "    ])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "using LinearAlgebra\n",
    "function polyfitFunction(X, Y, order)\n",
    "    λ = polyfit(X, Y, order) # polyfit in helpers.jl\n",
    "    β(x) = [float(x)^p for p = 0:order]\n",
    "    (x) -> LinearAlgebra.dot(λ, β(x))\n",
    "end;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
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                  "tag": "label"
                 },
                 "nodeType": "DOM",
                 "props": {
                  "className": "interact ",
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                  }
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                  "className": "slider slider is-fullwidth",
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                   "data-bind": "text: formatted_val"
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             "nodeType": "DOM",
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             "type": "node"
            }
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           "instanceArgs": {
            "handlers": {
             "changes": [
              "(function (val){return (val!=this.model[\"changes\"]()) ? (this.valueFromJulia[\"changes\"]=true, this.model[\"changes\"](val)) : undefined})"
             ],
             "index": [
              "(function (val){return (val!=this.model[\"index\"]()) ? (this.valueFromJulia[\"index\"]=true, this.model[\"index\"](val)) : undefined})"
             ]
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            "id": "8141742786417864543",
            "imports": {
             "data": [
              {
               "name": "knockout",
               "type": "js",
               "url": "/assetserver/c20779c1e6a079277e91dddf7bd670ca92eea868-knockout.js"
              },
              {
               "name": "knockout_punches",
               "type": "js",
               "url": "/assetserver/5d0eeef6d78927a4d06f8ff08a99add46d138283-knockout_punches.js"
              },
              {
               "name": null,
               "type": "js",
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               "name": null,
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               "url": "/assetserver/d5c3b0a1dece742679a111cbb2e6bd04a8ca0e64-style.css"
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               "name": null,
               "type": "css",
               "url": "/assetserver/457039d154101dcb9f0c19c2735b1d6e2c611d84-bulma_confined.min.css"
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             ],
             "type": "async_block"
            },
            "mount_callbacks": [
             "function () {\n    var handler = (function (ko, koPunches) {\n    ko.punches.enableAll();\n    ko.bindingHandlers.numericValue = {\n        init: function(element, valueAccessor, allBindings, data, context) {\n            var stringified = ko.observable(ko.unwrap(valueAccessor()));\n            stringified.subscribe(function(value) {\n                var val = parseFloat(value);\n                if (!isNaN(val)) {\n                    valueAccessor()(val);\n                }\n            });\n            valueAccessor().subscribe(function(value) {\n                var str = JSON.stringify(value);\n                if ((str == \"0\") && ([\"-0\", \"-0.\"].indexOf(stringified()) >= 0))\n                     return;\n                 if ([\"null\", \"\"].indexOf(str) >= 0)\n                     return;\n                stringified(str);\n            });\n            ko.applyBindingsToNode(\n                element,\n                {\n                    value: stringified,\n                    valueUpdate: allBindings.get('valueUpdate'),\n                },\n                context,\n            );\n        }\n    };\n    var json_data = {\"formatted_vals\":[\"0\",\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\"],\"changes\":WebIO.getval({\"name\":\"changes\",\"scope\":\"8141742786417864543\",\"id\":\"ob_02\",\"type\":\"observable\"}),\"index\":WebIO.getval({\"name\":\"index\",\"scope\":\"8141742786417864543\",\"id\":\"ob_01\",\"type\":\"observable\"})};\n    var self = this;\n    function AppViewModel() {\n        for (var key in json_data) {\n            var el = json_data[key];\n            this[key] = Array.isArray(el) ? ko.observableArray(el) : ko.observable(el);\n        }\n        \n        [this[\"formatted_val\"]=ko.computed(    function(){\n        return this.formatted_vals()[parseInt(this.index())-(0)];\n    }\n,this)]\n        [this[\"changes\"].subscribe((function (val){!(this.valueFromJulia[\"changes\"]) ? (WebIO.setval({\"name\":\"changes\",\"scope\":\"8141742786417864543\",\"id\":\"ob_02\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"changes\"]=false}),self),this[\"index\"].subscribe((function (val){!(this.valueFromJulia[\"index\"]) ? (WebIO.setval({\"name\":\"index\",\"scope\":\"8141742786417864543\",\"id\":\"ob_01\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"index\"]=false}),self)]\n        \n    }\n    self.model = new AppViewModel();\n    self.valueFromJulia = {};\n    for (var key in json_data) {\n        self.valueFromJulia[key] = false;\n    }\n    ko.applyBindings(self.model, self.dom);\n}\n);\n    (WebIO.importBlock({\"data\":[{\"name\":\"knockout\",\"type\":\"js\",\"url\":\"/assetserver/c20779c1e6a079277e91dddf7bd670ca92eea868-knockout.js\"},{\"name\":\"knockout_punches\",\"type\":\"js\",\"url\":\"/assetserver/5d0eeef6d78927a4d06f8ff08a99add46d138283-knockout_punches.js\"}],\"type\":\"async_block\"})).then((imports) => handler.apply(this, imports));\n}\n"
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              "sync": false,
              "value": 0
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             "index": {
              "id": "ob_01",
              "sync": true,
              "value": 4
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            "systemjs_options": null
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           "nodeType": "Scope",
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         "instanceArgs": {
          "namespace": "html",
          "tag": "div"
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         "nodeType": "DOM",
         "props": {
          "className": "field interact-widget"
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       "Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[Scope(Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[Node{WebIO.DOM}(WebIO.DOM(:html, :label), Any[\"order\"], Dict{Symbol,Any}(:className => \"interact \",:style => Dict{Any,Any}(:padding => \"5px 10px 0px 10px\")))], Dict{Symbol,Any}(:className => \"interact-flex-row-left\")), Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[Node{WebIO.DOM}(WebIO.DOM(:html, :input), Any[], Dict{Symbol,Any}(:max => 9,:min => 0,:attributes => Dict{Any,Any}(:type => \"range\",Symbol(\"data-bind\") => \"numericValue: index, valueUpdate: 'input', event: {change: function (){this.changes(this.changes()+1)}}\",\"orient\" => \"horizontal\"),:step => 1,:className => \"slider slider is-fullwidth\",:style => Dict{Any,Any}()))], Dict{Symbol,Any}(:className => \"interact-flex-row-center\")), Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[Node{WebIO.DOM}(WebIO.DOM(:html, :p), Any[], Dict{Symbol,Any}(:attributes => Dict(\"data-bind\" => \"text: formatted_val\")))], Dict{Symbol,Any}(:className => \"interact-flex-row-right\"))], Dict{Symbol,Any}(:className => \"interact-flex-row interact-widget\")), Dict{String,Tuple{Observables.AbstractObservable,Union{Nothing, Bool}}}(\"changes\" => (Observable{Int64} with 1 listeners. Value:\n",
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       "4, nothing)), Set(String[]), nothing, Asset[Asset(\"js\", \"knockout\", \"C:\\\\Users\\\\rmoss\\\\.julia\\\\packages\\\\Knockout\\\\1sDlc\\\\src\\\\..\\\\assets\\\\knockout.js\"), Asset(\"js\", \"knockout_punches\", \"C:\\\\Users\\\\rmoss\\\\.julia\\\\packages\\\\Knockout\\\\1sDlc\\\\src\\\\..\\\\assets\\\\knockout_punches.js\"), Asset(\"js\", nothing, \"C:\\\\Users\\\\rmoss\\\\.julia\\\\packages\\\\InteractBase\\\\9mFwe\\\\src\\\\..\\\\assets\\\\all.js\"), Asset(\"css\", nothing, \"C:\\\\Users\\\\rmoss\\\\.julia\\\\packages\\\\InteractBase\\\\9mFwe\\\\src\\\\..\\\\assets\\\\style.css\"), Asset(\"css\", nothing, \"C:\\\\Users\\\\rmoss\\\\.julia\\\\packages\\\\Interact\\\\SbgIk\\\\src\\\\..\\\\assets\\\\bulma_confined.min.css\")], Dict{Any,Any}(\"changes\" => Any[WebIO.JSString(\"(function (val){return (val!=this.model[\\\"changes\\\"]()) ? (this.valueFromJulia[\\\"changes\\\"]=true, this.model[\\\"changes\\\"](val)) : undefined})\")],\"index\" => Any[WebIO.JSString(\"(function (val){return (val!=this.model[\\\"index\\\"]()) ? (this.valueFromJulia[\\\"index\\\"]=true, this.model[\\\"index\\\"](val)) : undefined})\")]), WebIO.ConnectionPool(Channel{Any}(sz_max:32,sz_curr:0), Set(AbstractConnection[]), Base.GenericCondition{Base.AlwaysLockedST}(Base.InvasiveLinkedList{Task}(Task (runnable) @0x000000002b0fb6b0, Task (runnable) @0x000000002b0fb6b0), Base.AlwaysLockedST(1))), WebIO.JSString[WebIO.JSString(\"function () {\\n    var handler = (function (ko, koPunches) {\\n    ko.punches.enableAll();\\n    ko.bindingHandlers.numericValue = {\\n        init: function(element, valueAccessor, allBindings, data, context) {\\n            var stringified = ko.observable(ko.unwrap(valueAccessor()));\\n            stringified.subscribe(function(value) {\\n                var val = parseFloat(value);\\n                if (!isNaN(val)) {\\n                    valueAccessor()(val);\\n                }\\n            });\\n            valueAccessor().subscribe(function(value) {\\n                var str = JSON.stringify(value);\\n                if ((str == \\\"0\\\") && ([\\\"-0\\\", \\\"-0.\\\"].indexOf(stringified()) >= 0))\\n                     return;\\n                 if ([\\\"null\\\", \\\"\\\"].indexOf(str) >= 0)\\n                     return;\\n                stringified(str);\\n            });\\n            ko.applyBindingsToNode(\\n                element,\\n                {\\n                    value: stringified,\\n                    valueUpdate: allBindings.get('valueUpdate'),\\n                },\\n                context,\\n            );\\n        }\\n    };\\n    var json_data = {\\\"formatted_vals\\\":[\\\"0\\\",\\\"1\\\",\\\"2\\\",\\\"3\\\",\\\"4\\\",\\\"5\\\",\\\"6\\\",\\\"7\\\",\\\"8\\\",\\\"9\\\"],\\\"changes\\\":WebIO.getval({\\\"name\\\":\\\"changes\\\",\\\"scope\\\":\\\"8141742786417864543\\\",\\\"id\\\":\\\"ob_02\\\",\\\"type\\\":\\\"observable\\\"}),\\\"index\\\":WebIO.getval({\\\"name\\\":\\\"index\\\",\\\"scope\\\":\\\"8141742786417864543\\\",\\\"id\\\":\\\"ob_01\\\",\\\"type\\\":\\\"observable\\\"})};\\n    var self = this;\\n    function AppViewModel() {\\n        for (var key in json_data) {\\n            var el = json_data[key];\\n            this[key] = Array.isArray(el) ? ko.observableArray(el) : ko.observable(el);\\n        }\\n        \\n        [this[\\\"formatted_val\\\"]=ko.computed(    function(){\\n        return this.formatted_vals()[parseInt(this.index())-(0)];\\n    }\\n,this)]\\n        [this[\\\"changes\\\"].subscribe((function (val){!(this.valueFromJulia[\\\"changes\\\"]) ? (WebIO.setval({\\\"name\\\":\\\"changes\\\",\\\"scope\\\":\\\"8141742786417864543\\\",\\\"id\\\":\\\"ob_02\\\",\\\"type\\\":\\\"observable\\\"},val)) : undefined; return this.valueFromJulia[\\\"changes\\\"]=false}),self),this[\\\"index\\\"].subscribe((function (val){!(this.valueFromJulia[\\\"index\\\"]) ? (WebIO.setval({\\\"name\\\":\\\"index\\\",\\\"scope\\\":\\\"8141742786417864543\\\",\\\"id\\\":\\\"ob_01\\\",\\\"type\\\":\\\"observable\\\"},val)) : undefined; return this.valueFromJulia[\\\"index\\\"]=false}),self)]\\n        \\n    }\\n    self.model = new AppViewModel();\\n    self.valueFromJulia = {};\\n    for (var key in json_data) {\\n        self.valueFromJulia[key] = false;\\n    }\\n    ko.applyBindings(self.model, self.dom);\\n}\\n);\\n    (WebIO.importBlock({\\\"data\\\":[{\\\"name\\\":\\\"knockout\\\",\\\"type\\\":\\\"js\\\",\\\"url\\\":\\\"/assetserver/c20779c1e6a079277e91dddf7bd670ca92eea868-knockout.js\\\"},{\\\"name\\\":\\\"knockout_punches\\\",\\\"type\\\":\\\"js\\\",\\\"url\\\":\\\"/assetserver/5d0eeef6d78927a4d06f8ff08a99add46d138283-knockout_punches.js\\\"}],\\\"type\\\":\\\"async_block\\\"})).then((imports) => handler.apply(this, imports));\\n}\\n\")])], Dict{Symbol,Any}(:className => \"field interact-widget\")), Observable{Any} with 0 listeners. Value:\n",
       "Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[PGFPlots.Axis(PGFPlots.Plots.Plot[PGFPlots.Plots.Linear(Real[1.0 1.0909090909090908 … 9.909090909090908 10.0; 4.743634076586761 4.717349889416932 … 5.107274470173621 4.9546693457132225], \"none\", nothing, nothing, nothing, nothing, nothing), PGFPlots.Plots.Scatter(Any[1.0 2.0 … 9.0 10.0; 4.643647507977413 5.070356537926436 … 6.341828390776218 4.973216404386511], nothing, nothing, nothing, nothing, true, nothing)], \"\\$5.50-1.25 x+0.55x^{2}-0.06x^{3}+0.00x^{4}\\$\", nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, \"axis\")], Dict{Symbol,Any}(:className => \"interact-flex-row interact-widget\"))], Dict{Symbol,Any}())"
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      }
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    "@manipulate for order in 0:9\n",
    "    title=prettyPolynomial(polyfit(s, u, order))\n",
    "    PGFPlots.Axis([\n",
    "        PGFPlots.Plots.Linear(polyfitFunction(s, u, order), (1,10)),\n",
    "        PGFPlots.Plots.Scatter(s, u),\n",
    "        ], title=title)\n",
    "end    "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cross Entropy Method"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Example true function (has local optima)\n",
    "V(λ) = 0.5*(exp(-(λ/2).^2) + 2 * exp(-((λ - 10)/2).^2) + 0.75 * exp(-((λ - 5)/2).^2));"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Note: this is designed for univariate functions (easy to generalize, though)\n",
    "function crossEntropyMethod(f::Function, distribution; steps = 10, populationSize = 20, eliteSize = 5)\n",
    "    while true\n",
    "        # draw population of random samples from the distribution\n",
    "        samples = rand(distribution, populationSize)\n",
    "        # get the indices of the samples in decreasing order\n",
    "        index = sortperm(map(f, samples), rev=true)\n",
    "        # pull off the elite samples\n",
    "        eliteSamples = samples[index[1:eliteSize]]\n",
    "        if steps == 0\n",
    "            return samples, eliteSamples, distribution\n",
    "        else\n",
    "            steps = steps - 1\n",
    "        end\n",
    "        # update the distribution based on the elite samples\n",
    "        distribution = fit_mle(Normal, eliteSamples)\n",
    "    end\n",
    "end;"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
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       "            window,\n",
       "        );\n",
       "    } else {\n",
       "        document\n",
       "            .querySelector('[data-webio-mountpoint=\"2118457721948248092\"]')\n",
       "            .innerHTML = (\n",
       "                '<strong>WebIO not detected. Please read ' +\n",
       "                '<a href=\"https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/\">the troubleshooting guide</a> ' +\n",
       "                'for more information on how to resolve this issue.' +\n",
       "                '</strong>'\n",
       "            );\n",
       "    }\n",
       "    </script>\n",
       "</div>\n"
      ],
      "text/plain": [
       "Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[Scope(Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[Node{WebIO.DOM}(WebIO.DOM(:html, :label), Any[\"steps\"], Dict{Symbol,Any}(:className => \"interact \",:style => Dict{Any,Any}(:padding => \"5px 10px 0px 10px\")))], Dict{Symbol,Any}(:className => \"interact-flex-row-left\")), Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[Node{WebIO.DOM}(WebIO.DOM(:html, :input), Any[], Dict{Symbol,Any}(:max => 4,:min => 0,:attributes => Dict{Any,Any}(:type => \"range\",Symbol(\"data-bind\") => \"numericValue: index, valueUpdate: 'input', event: {change: function (){this.changes(this.changes()+1)}}\",\"orient\" => \"horizontal\"),:step => 1,:className => \"slider slider is-fullwidth\",:style => Dict{Any,Any}()))], Dict{Symbol,Any}(:className => \"interact-flex-row-center\")), Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[Node{WebIO.DOM}(WebIO.DOM(:html, :p), Any[], Dict{Symbol,Any}(:attributes => Dict(\"data-bind\" => \"text: formatted_val\")))], Dict{Symbol,Any}(:className => \"interact-flex-row-right\"))], Dict{Symbol,Any}(:className => \"interact-flex-row interact-widget\")), Dict{String,Tuple{Observables.AbstractObservable,Union{Nothing, Bool}}}(\"changes\" => (Observable{Int64} with 1 listeners. Value:\n",
       "0, nothing),\"index\" => (Observable{Int64} with 2 listeners. Value:\n",
       "2, nothing)), Set(String[]), nothing, Asset[Asset(\"js\", \"knockout\", \"C:\\\\Users\\\\rmoss\\\\.julia\\\\packages\\\\Knockout\\\\1sDlc\\\\src\\\\..\\\\assets\\\\knockout.js\"), Asset(\"js\", \"knockout_punches\", \"C:\\\\Users\\\\rmoss\\\\.julia\\\\packages\\\\Knockout\\\\1sDlc\\\\src\\\\..\\\\assets\\\\knockout_punches.js\"), Asset(\"js\", nothing, \"C:\\\\Users\\\\rmoss\\\\.julia\\\\packages\\\\InteractBase\\\\9mFwe\\\\src\\\\..\\\\assets\\\\all.js\"), Asset(\"css\", nothing, \"C:\\\\Users\\\\rmoss\\\\.julia\\\\packages\\\\InteractBase\\\\9mFwe\\\\src\\\\..\\\\assets\\\\style.css\"), Asset(\"css\", nothing, \"C:\\\\Users\\\\rmoss\\\\.julia\\\\packages\\\\Interact\\\\SbgIk\\\\src\\\\..\\\\assets\\\\bulma_confined.min.css\")], Dict{Any,Any}(\"changes\" => Any[WebIO.JSString(\"(function (val){return (val!=this.model[\\\"changes\\\"]()) ? (this.valueFromJulia[\\\"changes\\\"]=true, this.model[\\\"changes\\\"](val)) : undefined})\")],\"index\" => Any[WebIO.JSString(\"(function (val){return (val!=this.model[\\\"index\\\"]()) ? (this.valueFromJulia[\\\"index\\\"]=true, this.model[\\\"index\\\"](val)) : undefined})\")]), WebIO.ConnectionPool(Channel{Any}(sz_max:32,sz_curr:0), Set(AbstractConnection[]), Base.GenericCondition{Base.AlwaysLockedST}(Base.InvasiveLinkedList{Task}(Task (runnable) @0x0000000013cf05d0, Task (runnable) @0x0000000013cf05d0), Base.AlwaysLockedST(1))), WebIO.JSString[WebIO.JSString(\"function () {\\n    var handler = (function (ko, koPunches) {\\n    ko.punches.enableAll();\\n    ko.bindingHandlers.numericValue = {\\n        init: function(element, valueAccessor, allBindings, data, context) {\\n            var stringified = ko.observable(ko.unwrap(valueAccessor()));\\n            stringified.subscribe(function(value) {\\n                var val = parseFloat(value);\\n                if (!isNaN(val)) {\\n                    valueAccessor()(val);\\n                }\\n            });\\n            valueAccessor().subscribe(function(value) {\\n                var str = JSON.stringify(value);\\n                if ((str == \\\"0\\\") && ([\\\"-0\\\", \\\"-0.\\\"].indexOf(stringified()) >= 0))\\n                     return;\\n                 if ([\\\"null\\\", \\\"\\\"].indexOf(str) >= 0)\\n                     return;\\n                stringified(str);\\n            });\\n            ko.applyBindingsToNode(\\n                element,\\n                {\\n                    value: stringified,\\n                    valueUpdate: allBindings.get('valueUpdate'),\\n                },\\n                context,\\n            );\\n        }\\n    };\\n    var json_data = {\\\"formatted_vals\\\":[\\\"0\\\",\\\"1\\\",\\\"2\\\",\\\"3\\\",\\\"4\\\"],\\\"changes\\\":WebIO.getval({\\\"name\\\":\\\"changes\\\",\\\"scope\\\":\\\"10467837628590745984\\\",\\\"id\\\":\\\"ob_10\\\",\\\"type\\\":\\\"observable\\\"}),\\\"index\\\":WebIO.getval({\\\"name\\\":\\\"index\\\",\\\"scope\\\":\\\"10467837628590745984\\\",\\\"id\\\":\\\"ob_09\\\",\\\"type\\\":\\\"observable\\\"})};\\n    var self = this;\\n    function AppViewModel() {\\n        for (var key in json_data) {\\n            var el = json_data[key];\\n            this[key] = Array.isArray(el) ? ko.observableArray(el) : ko.observable(el);\\n        }\\n        \\n        [this[\\\"formatted_val\\\"]=ko.computed(    function(){\\n        return this.formatted_vals()[parseInt(this.index())-(0)];\\n    }\\n,this)]\\n        [this[\\\"changes\\\"].subscribe((function (val){!(this.valueFromJulia[\\\"changes\\\"]) ? (WebIO.setval({\\\"name\\\":\\\"changes\\\",\\\"scope\\\":\\\"10467837628590745984\\\",\\\"id\\\":\\\"ob_10\\\",\\\"type\\\":\\\"observable\\\"},val)) : undefined; return this.valueFromJulia[\\\"changes\\\"]=false}),self),this[\\\"index\\\"].subscribe((function (val){!(this.valueFromJulia[\\\"index\\\"]) ? (WebIO.setval({\\\"name\\\":\\\"index\\\",\\\"scope\\\":\\\"10467837628590745984\\\",\\\"id\\\":\\\"ob_09\\\",\\\"type\\\":\\\"observable\\\"},val)) : undefined; return this.valueFromJulia[\\\"index\\\"]=false}),self)]\\n        \\n    }\\n    self.model = new AppViewModel();\\n    self.valueFromJulia = {};\\n    for (var key in json_data) {\\n        self.valueFromJulia[key] = false;\\n    }\\n    ko.applyBindings(self.model, self.dom);\\n}\\n);\\n    (WebIO.importBlock({\\\"data\\\":[{\\\"name\\\":\\\"knockout\\\",\\\"type\\\":\\\"js\\\",\\\"url\\\":\\\"/assetserver/c20779c1e6a079277e91dddf7bd670ca92eea868-knockout.js\\\"},{\\\"name\\\":\\\"knockout_punches\\\",\\\"type\\\":\\\"js\\\",\\\"url\\\":\\\"/assetserver/5d0eeef6d78927a4d06f8ff08a99add46d138283-knockout_punches.js\\\"}],\\\"type\\\":\\\"async_block\\\"})).then((imports) => handler.apply(this, imports));\\n}\\n\")])], Dict{Symbol,Any}(:className => \"field interact-widget\")), Observable{Any} with 0 listeners. Value:\n",
       "Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[PGFPlots.Axis(PGFPlots.Plots.Plot[PGFPlots.Plots.Linear(Real[-15.0 -14.696969696969697 … 14.696969696969697 15.0; 1.8616815608752553e-25 1.765908842676007e-24 … 0.004024393439179559 0.0019304541414356883], \"none\", nothing, nothing, nothing, nothing, nothing), PGFPlots.Plots.Scatter(Any[9.751116996709673 8.097589498531269 … 8.697757769246005 6.045254124744254; 0.9859615646100064 0.43868757380758605 … 0.6667382908905819 0.30546438305287305], \"+\", nothing, nothing, nothing, true, nothing), PGFPlots.Plots.Scatter(Any[9.948112198769019 9.813684117533679 … 10.59436346884161 9.267069421698553; 1.0001507757084984 0.9925025821376577 … 0.9156206149013073 0.8782854192718207], nothing, nothing, nothing, nothing, true, nothing), PGFPlots.Plots.Linear(Real[-15.0 -14.696969696969697 … 14.696969696969697 15.0; 1.1304861557574494e-29 6.122304252426183e-29 … 0.01558708865273996 0.010082445027993735], \"none\", nothing, nothing, nothing, nothing, nothing)], nothing, nothing, nothing, nothing, nothing, nothing, nothing, -15, 15, 0, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, nothing, \"axis\")], Dict{Symbol,Any}(:className => \"interact-flex-row interact-widget\"))], Dict{Symbol,Any}())"
      ]
     },
     "execution_count": 8,
     "metadata": {
      "application/vnd.webio.node+json": {
       "kernelId": "f9befb63-174a-4880-847c-bfc83fe68724"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "initialDistribution = Normal(0, 1)\n",
    "domain = (-15,15)\n",
    "@manipulate for steps = 0:4\n",
    "    Random.seed!(0)\n",
    "    (samples, eliteSamples, distribution) = crossEntropyMethod(λ->V(λ), Normal(0., 10.), steps = steps)\n",
    "    densityScale = 1/pdf(distribution, distribution.μ)\n",
    "    density = λ->densityScale*pdf(distribution, λ)\n",
    "    PGFPlots.Axis([\n",
    "        PGFPlots.Plots.Linear(V, domain),\n",
    "        PGFPlots.Plots.Scatter(samples, map(V, samples), mark=\"+\"),\n",
    "        PGFPlots.Plots.Scatter(eliteSamples, map(V, eliteSamples)),\n",
    "        PGFPlots.Plots.Linear(density, domain)\n",
    "        ], xmin=domain[1], xmax=domain[2], ymin=0\n",
    "    )\n",
    "end"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Function Approximation Value Iteration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Plots.PyPlotBackend()"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "using ContinuumWorld\n",
    "using POMDPs\n",
    "using Interact\n",
    "using GridInterpolations\n",
    "using Plots\n",
    "pyplot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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//1kNGzbUwoULS/xS6fJq2LChNm7cqMGDB2vjxo16/fXXdfLkSa1Zs6ZcTyQCqNwM0yzn3O8AAADllJubq4iICNV4oYaMYC86WHmmzkw9o9OnT1f6B4kkhggBAICFGCIEAACAV+hgAQAAy9DBQpk89dRTiomJkWEY7ieUJGn//v268847FRcXpw4dOmj37t02VgkAQOVgGIZXUzR4E8rsRMCqoEGDBunzzz9Xo0aNPNaPHj1aKSkp2rdvnyZMmKBRo0bZVCEAALAaAauC7r77bveX6RY6fvy4tm3bpmHDhkmSBg4cqMzMTGVlZdlQIQAAlQcTjcJr2dnZatCggfvLZg3DUHR0tI4cOaKYmJgi+//666/auXOnYmJiFBoa6l7vcrnkcrmsKhsAAL/zOiwF1gghActfrh0rLm26sT179qhz587a+s+tatOmjedxCqyb+gAgUBmB9i84KjUClh9ERUUpJydHly5dUtWqVWWaprKzsxUdHW13aQAA2MopHazAGtAMEPXq1VNiYqLeffddSdLSpUsVExNT7PAgAABO4pR7sAKr2kpo3LhxioyMVE5Ojnr16qWmTZtKkubPn6/58+crLi5Os2bN0jvvvGNzpQAAwCoMEVbQm2++qTfffLPI+ubNm2vTpk02VAQAQOXllCFCAhYAALCMUwIWQ4QAAAA+RgcLAABYxikdLAIWAACwTJAC74lAb9z47xAAAMBidLAAAIBlDMPwqoNlGoH1zSYELAAAYBlv78EKtIDFECEAAICP0cECAACWcUoHi4AFAAAs45SAxRAhAACAj9HBAgAAlnFKB4uABQAALOOUgMUQIQAAgI/RwQIAAJZxSgeLgAUAACzjlIDFECEAAICP0cECAACWcUoHi4AFAAAs4+2XPRcYBX6oxn8YIgQAAPAxOlgAAMAy3g4RlveYU6dOKSkpyf36119/1aFDh3T8+HHVqlXLvX7dunXq37+/4uLi3Os2bdqkkJCQctd4NQIWAACwjFUBq2bNmtq+fbv79ezZs7V+/XqPcFXo9ttv19atW8tdU2kYIgQAADe81NRUjRo1yrLr0cECAACWqWgHKzc312O9y+WSy+Uq9dhNmzbpxIkTGjBgQLHb9+7dqzZt2qhKlSoaMWKExo4dW+76rkXAAgAAlqlowIqKivJY/8ILL2jKlCmlHrtgwQI98cQTqlq1aOxp06aNcnJyFBERoZycHPXv31916tTR4MGDy13j1QhYAAAgYGRnZys8PNz9+nrdq3Pnzmnx4sX66quvit1+9bkiIyM1dOhQZWRkVDhgcQ8WAACwTGEHy5tFuhKIrl6uF7A++OAD3XHHHWrRokWx248dO6aCgitzbJ05c0YrVqxQYmJixd9nhc8AAABQRhUNWOX1zjvvFLm5/cknn9RHH30kSVq6dKni4+PVunVrderUSffcc49GjBhR4ffJECEAALhhZWRkFFn39ttvu389fvx4jR8/3ufXJWABAADLWDUPlt0IWAAAwDJB8jJgBdhdTYFVLQAAQACggwUAACxjGIZXHSzDMPxQjf8QsAAAgGWccg9WYFULAAAQAOhgAQAAyzilg0XAAgAAlnFKwAqsagEAAAIAHSwAAGAZp3SwCFgAAMAyTglYgVUtAABAAKCDBQAALOOUDhYBCwAAWMYpASuwqgUAAAgAdLAAAIBlnNLBImABAADLOOXLngMrDgIAAAQAOlgAAMAyDBECAAD4mFMCVmBVCwAAEADoYAEAAMs4pYNFwAIAAJZxSsAKrGoBAAACAB0sAABgGad0sAhYAADAMk4JWIFVLQAAQACggwUAACzjlA4WAQsAAFjGKQErsKoFAAAIAHSwAACAZQwZXnWjDBl+qMZ/CFgAAMAyDBECAADAKwQsP1q5cqXatm2rxMREtWrVSosWLbK7JAAAbFXYwfJmCSQMEfqJaZp69NFHtXbtWt1xxx3KyspSixYt9NBDD6lGjRp2lwcAgC0YIoRPnDp1SpKUm5ur2rVry+Vy2VwRAADwNzpYfmIYht5//3099NBDCgsL08mTJ/Xhhx+qWrVqdpcGAIBtnNLBImD5yaVLlzRz5kwtX75cXbp00ZYtW/TAAw/om2++Ua1atewuD0AAWLFvRYnbBsQNsLASwHecErACq9oAsn37dh09elRdunSRJLVv314NGjTQjh07bK4MAAD4Gx0sP4mKilJOTo727t2r5s2b68CBAzp48KDi4uLsLg1AJVNap6osx9DNQiCxsoMVExOj4OBgBQcHS5ImTZqkRx55pMh+06dPV2pqqiTp0Ucf1Ysvvljua12LgOUnt9xyi+bPn69BgwYpKChIpmlq7ty5atiwod2lAQBgG6uHCJcsWaJWrVqVuH3Dhg1KS0vTzp07VbVqVXXp0kV33XWX+vTp49X1ChGw/Gjo0KEaOnSo3WUAqKS86VyV5Tx0tICyW7x4sZKTkxUWFiZJGjlypNLS0ghYABBIfBWqynINghYqo4p2sHJzcz3Wu1yuUqdAeuyxx1RQUKCOHTtq5syZqlu3rsf2I0eOqFu3bu7XMTExWrJkSbnrK1Jvhc8AAABQRoZheDWLu2Fc+bLnqKgoRUREuJeZM2eWeK0NGzZox44d2rZtm2rXrq3hw4eXWFMh0zR98j7pYAHADWrFvhV0sXDDyc7OVnh4uPt1ad2r6OhoSdJNN92kf//3fy/2QbPo6GhlZWW5Xx8+fNh9XEXQwQIAAJap6HcRhoeHeywlBaxz5865v01FktLS0pSYmFhkv4cffliLFi3SuXPnlJ+frwULFmjIkCEVfp90sADAAlbcewUEAqueIvzxxx81cOBAXb58WaZpqnHjxvrLX/4iSerfv7+mTZumdu3aKSkpSYMHD1Z8fLwkaciQIerbt2+567sWAQsAANxwGjdurK+//rrYbR9//LHH68mTJ2vy5Mk+vT4BCwBuYDxRiMrGKV+VQ8ACAD9iaBDw5JSAFVjVAgAABAA6WADgAAwVorJwSgeLgAUAACzjlIAVWNUCAAAEADpYAADAMk7pYBGwAACAZZwSsAKrWgAAgABABwsAAFjGkOFVN8qQ4Ydq/IeABQAOwPQMqCwYIgQAAIBX6GABAADLOKWDRcACAACWcUrACqxqASDADIgbwP1PgAPRwQIAAJZxSgeLgAUANzC6Z6hsnBKwAqtaAAhQdgwVEq4A+9DBAgAAlnFKB4uABQAWKuwqrdi3wuZKAHs4JWAFVrUAAAABgA4WANhgQNwAn3exuOcKgcApHSwCFgAAsIxhePllzwZf9gwAKINrO07l7WjRsQIqLwIWAACwDEOEAABL0ZGCEzglYAVWtQAAAAGADhYAALCMUzpYBCwAAGAZpwSswKoWAAAgANDBAgAAlnFKB4uABQAALOOUgBVY1QIAAAQAOlgAAMAyTulgEbAAAIBlnBKwAqtaAACAAEAHCwAAWCZIXnawAqwnRMACAACWMQzDq4BlGIYfqvGfwIqDAAAAAYCABQAALFN4k7s3S3nk5eXpgQceUFxcnBISEtS3b19lZWUV2W/dunUKDQ1VQkKCezl//nyF3ydDhAAAwDJWPkWYkpKifv36yTAMvfHGG0pJSdGnn35aZL/bb79dW7duLff5S0MHCwAA3HCCg4PVv39/971bnTp10qFDhyy7Ph0sAABgmYp2sHJzcz3Wu1wuuVyu6x7/+uuv69577y122969e9WmTRtVqVJFI0aM0NixY8td37UIWAAAwDIVDVhRUVEe61944QVNmTKl1GNnzJih/fv3a968eUW2tWnTRjk5OYqIiFBOTo769++vOnXqaPDgweWu8WoELAAAEDCys7MVHh7ufn297tXs2bP14YcfavXq1QoNDS2y/epzRUZGaujQocrIyKhwwOIeLAAAYJmKPkUYHh7usZQWsObMmaO0tDStWrVKNWvWLHafY8eOqaCgQJJ05swZrVixQomJiRV/nxU+AwAAQBlZNU1DTk6OnnnmGZ06dUrdu3dXQkKCOnbsKEl68skn9dFHH0mSli5dqvj4eLVu3VqdOnXSPffcoxEjRlT4fTJECAAAbjiRkZEyTbPYbW+//bb71+PHj9f48eN9fn0CFgAAsIyV82DZiYAFAAAs45SAFVjVAgAABAA6WAAAwDKGYXjVjSqckT1QELAAAIBlGCIEAACAV+hgAQAAyzilg0XAAgAAlnFKwAqsagNQfn6+xo8fr2bNmqlly5YaNmyY3SUBAAA/o4PlZxMnTlRQUJD27dsnwzB07Ngxu0sCAMA2TulgEbD86Ny5c0pNTVVOTo778dL69evbXBUAAPZxSsAKrGoDzMGDB1W7dm1Nnz5d7dq1U9euXbVmzRq7ywIAAH5GB8uPLl68qEOHDun222/XrFmztGPHDvXq1Uu7d+9W3bp17S4PfmZMnVbmfc0XJvuxEgCoPOhgocIaNWqkoKAgPfbYY5Kk1q1bKzY2Vt9++63NlQEAYI/CgOXNEkjoYPlRnTp11LNnT61cuVL9+/fX4cOHlZmZqebNm9tdGvykPF2r0o6jowUAgY2A5Wfz5s3TyJEj9fvf/15VqlTRW2+9xY3uAADHCpKXQ4QBNuhGwPKzxo0ba926dXaXAT/ztnNVlvPRzQJwI+HLngFcl6+DVWnXIGgBQOAgYAEAAMs45SlCAhbgJSu6VwBwo3FKwAqsagEAAAIAHSygnOzqXHEvFoAbgVM6WAQsAABgGacErMCqFgAAIADQwQIAAJZxSgeLgAUEGO7FAhDICFgAPDAtAwCgrAhYAADAMnSwAAAAfMwpASuwqgUAAAgAdLAAAIBlDMPwqhtlGIYfqvEfAhYAALAMQ4QAAADwCh0sAABgGad0sAhYQBkVTuzJfFgA4D0CFoBKiRncAaDyI2ABAADL0MECAADwMacErMCqFgAAIAAQsIByMl+YbMt9UHZdFwB8qbCD5c1SXvv379edd96puLg4dejQQbt37y52v+nTp6tJkyZq0qSJnn/++Yq+RUkELAAAYCErA9bo0aOVkpKiffv2acKECRo1alSRfTZs2KC0tDTt3LlTu3fvVnp6ulauXFnx91nhMwAORTcJACqv48ePa9u2bRo2bJgkaeDAgcrMzFRWVpbHfosXL1ZycrLCwsLkcrk0cuRIpaWlVfj63OQOVIAVc2MR5ADcSCp6k3tubq7HepfLJZfLVWT/7OxsNWjQQFWrXok6hmEoOjpaR44cUUxMjHu/I0eOqFu3bu7XMTExWrJkSbnrK1Jvhc8AAABQRobp/SJJUVFRioiIcC8zZ84s+VrXfEG0aZrX3a+kfcqLDhbgA77uZNG1AoDiZWdnKzw83P26uO6VdCWI5eTk6NKlS6patapM01R2draio6M99ouOjvYYNjx8+HCRfbxBBwsAAFinoMD7RVJ4eLjHUlLAqlevnhITE/Xuu+9KkpYuXaqYmBiP4UFJevjhh7Vo0SKdO3dO+fn5WrBggYYMGVLht0kHC/ChqztP5elm0bECAN+bP3++kpOTNWPGDIWHh2vRokWSpP79+2vatGlq166dkpKSNHjwYMXHx0uShgwZor59+1b42gQsAABgnau6UeU+rpyaN2+uTZs2FVn/8ccfe7yePHmyJk/27Q+6BCzAT+hKAUAxLAxYduIeLAAAAB+jgwUAAKzjkA4WAQsAAFjHIQGLIUIAAAAfo4MFAACs45AOFgELAABYxyEBiyFCAAAAH6ODBQAArOOQDhYBCwAAWMc0vQtLpun7WvyIIUIAAAAfo4MFAACswxAhAACAjzkkYDFECAAA4GN0sAAAgHUc0sEiYAEAAOs4JGAxRAgAAOBjdLAAAIB1HNLBImABAADrOCRgMUQIAADgY3SwAACAdRzSwSJgAQAA6zgkYDFECAAA4GN0sAAAgHVM07tulGn6vhY/ImABAADrMEQIAAAAb9DBAgAA1nFIB4uABQAArOOQgMUQIQAAgI/RwQIAANZxSAeLgAUAAKzjkIDFEKEFpk6dKsMwtGvXLrtLAQAAFqCD5Wfbtm3Tl19+qejoaLtLAQDAfnSwUFH5+fkaN26c5s6dK8Mw7C4HAAD7FQYsb5YAQsDyo8mTJ2vYsGGKjY21uxQAAGAhhgj9ZNOmTdqyZYtmzWzfphUAABG5SURBVJpldykAAFQeDBGiItavX689e/YoNjZWMTExysnJUZ8+fZSenm53aQAA2Kfwy57LuwTYlz0TsPxk4sSJOnr0qLKyspSVlaXIyEitXLlS/fr1s7s0AADgZwwRAgAA6zBECF/KyspSq1at7C4DAAB7VZKnCP/jP/5Dt912m1q3bq0OHTros88+K3FfwzB0xx13KCEhQQkJCcrIyLju+elgAQAAx+natauef/55hYSEaMeOHUpKStKxY8cUHBxc7P4bN25U9erVy3x+OlgAAMA6laSD1a9fP4WEhEiS4uPjdfnyZf38888+Oz8dLAAAYJ0K3oOVm5vrsdrlcsnlclWopNTUVDVp0kSRkZEl7pOUlKSLFy+qZ8+eevHFFxUWFlbqOelgAQCAgBEVFaWIiAj3MnPmzGL369q1q+rUqVPskp2d7d5vzZo1mjp1qt57770Sr3n48GFt3bpVGzdu1E8//aRnn332unXSwQIAANapYAcrOztb4eHh7tUlda/KciP6+vXrNWLECP39739X8+bNS9yv8PuEw8LCNHbsWKWkpFz33AQsAABgnQoGrPDwcI+A5a0NGzbo8ccf1/Lly9W6desS9zt58qRcLpdCQ0NVUFCgxYsXKzEx8brnZ4gQAAA4zqhRo5Sfn68RI0a4p1/45ptvJEnz5s3T5MmTJUl79uxRp06d1Lp1a8XHx+vEiRN67bXXrnt+OlgAAMA6lWSi0f3795e4bcyYMe5fd+7cWTt37iz3+QlYAADAOpUkYPkbQ4QAAAA+RgcLAABYxzS960aZpu9r8SMCFgAAsA5DhAAAAPAGHSwAAGAdh3SwCFgAAMA6DglYDBECAAD4GB0sAABgHYd0sAhYAADAOg4JWAwRAgAA+BgdLAAAYB2HdLAIWAAAwDoOCVgMEQIAAPgYHSwAAGAdh3SwCFgAAMA6DglYDBECAAD4GB0sAABgHdP0rhtlmr6vxY8IWAAAwDoMEQIAAMAbdLAAAIB1HNLBImABAADrOCRgMUQIAADgY3SwAD8wDO9+djHNwPoJDTe2oKnl+3tc8AJ/f1EGDulgEbAAAIB1CFgAysvbzlVJx9PRgpXK27G63vF0tOBkBCygAioaqMpyfkIW/K2iwaq08xKyUAQdLAAAAB8jYAEojb+7V9deh04WfM1fnavirkEnC05DwAIAANahgwWgMqGTBV+yontV3PXoZMEpX/bMRKMAAAA+RgcLKCer7r0CbkR0ssAQIQAAgK8RsABURtyLhYqw+t4rwKkIWEAZMTQIAD5ABwsAAMDHHBKw+JEcAGA5hipxo6ODBQAArEMHCwAAwMcKA5Y3iw8lJycrMjJSCQkJSkhI0LPPPlvivitWrFCLFi3UtGlTDRw4UGfPnr3u+QlYAADAkSZOnKjt27dr+/bteuWVV4rd5+zZsxo1apSWLVumAwcOqH79+nrppZeue24CFgAAsE4l6WCVVXp6utq1a6cWLVpIksaOHau0tLTrHkfAAgBYjpncHayCASs3N9djyc/P97qUOXPm6I477tCAAQO0ffv2Yvc5cuSIGjVq5H4dExOj77//XgXXCXzc5A4AAAJGVFSUx+sXXnhBU6ZMKbJf165d9d133xV7jq+//lovvfSS6tevr6CgIP3tb39Tv379tH//flWvXr3I/oZhlLtOAhZQRoUzpzPhKABUgGl6N9xnmpKk7OxshYeHu1e7XK5id8/IyCjzqR988EFNnDhRe/fuVdu2bT22RUdH67PPPnO/zsrKUsOGDRUUVPq/BfxLAQAArFPBIcLw8HCPpaSAdT05OTnuX3/55Zc6ceKEmjZtWmS/vn37asuWLdqzZ48kae7cuRoyZMh1z08HCwgwfAchAFRccnKyfvzxR1WpUkUhISH64IMPFBERIUmaPHmyGjRooDFjxqhGjRp6++239cADD+jSpUuKj4/XokWLrnt+AhYAALBOJZlodPXq1SVumzZtmsfr++67T/fdd1+5zk/AAgAHKXx6z66vquHpQVSWgOVv3IMFAADgYwQsoJxMs8CW+6Dsui5uTHSSYJsAm2jUWwwRAl4yzQJLpmwgVOFGQKCDG0OEAAAA8AYdLD/Ky8vTkCFDtHv3boWGhurWW2/VvHnzFBMTY3dp8BF/Tz5K9wr+ZMUN73SuUAQdLPhCSkqK9u7dq+3bt2vAgAFKSUmxuyQAAOzDPVioqODgYPXv39/9ulOnTnrttddsrAj+4utOFp0rWOnaLlNFO1p0rQAClqVef/113XvvvXaXAQCAfRwyREjAssiMGTO0f/9+zZs3z+5S4EfFdZ5K62rRqUJlVFwHqrSuFh0rlEsFv+w5UBCwLDB79mx9+OGHWr16tUJDQ+0uBxYjROFGQIgCyoeA5Wdz5sxRWlqaVq9erZo1a9pdDgAA9mKIEBWVk5OjZ555Ro0bN1b37t0lSS6XS5s3b7a5MgAAbELAQkVFRkbKDLAxYwAAUHEELAAAYB06WAAAAD7mkIDFTO4AAAA+RgcLAABYxyEdLAIWAACwjkMCFkOEAAAAPkYHCwAAWMchHSwCFgAAsI5DAhZDhAAAAD5GBwsAAFjHNL3rRgXYN6MQsAAAgHUYIgQAAIA36GABAADrOKSDRcACAADWcUjAYogQAADAx+hgAQAA6zikg0XAAgAA1nFIwGKIEAAAwMfoYAEAAOs4pINFwAIAANZxSMBiiBAAAMDH6GABAADrOKSDRcACAADWcciXPTNECAAA4GN0sAAAgHUcMkRIBwsAAFinMGB5s/jQoEGDlJCQ4F6CgoL00UcfFbuvYRi644473PtmZGRc9/x0sAAAgOMsWbLE/eutW7eqb9++6tOnT4n7b9y4UdWrVy/z+QlYAADAOpVwiHDBggUaNmyYXC6Xz85JwAIAANapYMDKzc31WO1yuSoUjPLy8pSWlqYNGzaUul9SUpIuXryonj176sUXX1RYWFip+3MPFgAACBhRUVGKiIhwLzNnzix2v65du6pOnTrFLtnZ2e79li5dqmbNmik+Pr7Eax4+fFhbt27Vxo0b9dNPP+nZZ5+9bp10sAAAgHUq2MHKzs5WeHi4e3VJ3auy3IguSe+8845GjRpV6j7R0dGSpLCwMI0dO1YpKSnXPS8BCwAAWKeCASs8PNwjYFVEZmamvvrqKy1btqzEfU6ePCmXy6XQ0FAVFBRo8eLFSkxMvO65GSIEAACOtGDBAg0cOLBIYJs3b54mT54sSdqzZ486deqk1q1bKz4+XidOnNBrr7123XPTwQIAANapRE8Rvvjii8WuHzNmjPvXnTt31s6dO8t9bgIWAACwTiUKWP7EECEAAICP0cECAADWMU3vulGm6fta/IiABQAArFNQIBmGd8cFEIYIAQAAfIwOFgAAsI5DOlgELAAAYB2HBCyGCAEAAHyMDhYAALCOQzpYBCwAAGAdhwQshggBAAB8jA4WAACwjkM6WAQsAABgHYcELIYIAQAAfIwOFgAAsI5DOlgELAAAYB2HfNkzQ4QAAAA+RgcLAABYx9uhPoYIAQAASuCQgMUQIQAAgI/RwQIAANZxSAeLgAUAAKzjkIDFECEAAICP0cECAADWcUgHi4AFAACs45CAxRAhAACAj9HBAgAA1qGDBatcuHDB7hIAwPGmTJmi/Px8u8u48RUUeL8EEAKWn+3fv1933nmn4uLi1KFDB+3evbvIPgQsALDf1KlTCVjwGQKWn40ePVopKSnat2+fJkyYoFGjRtldEgAA9jFN77pXpml35eVCwPKj48ePa9u2bRo2bJgkaeDAgcrMzFRWVpa9hQEAYBeHDBFyk7sfZWdnq0GDBqpa9cpvs2EYio6O1pEjRxQTE+PeLy8vT5K057s9dpQJAPg/v/76q8LDw+0uAzcAApafGYbh8dospsV57NgxSXJ3ugAA9sjKytKtt95qdxk3toIC6Zp/G8skwIYICVh+FBUVpZycHF26dElVq1aVaZrKzs5WdHS0x36/+c1vtHDhQtWvX1/BwcHu9dWqVVO1atWsLhsAHKtFixZ2l3DjI2ChourVq6fExES9++67Sk5O1tKlSxUTE+MxPChJderU0fDhw+0pEgAA+JxhFjdmBZ/Zu3evkpOTdeLECYWHh2vRokVq2bKl3WUBAGCp3NxcRURE6HRIiMK96GDlmqYizp/X6dOnA+I+OQIWAADwO3fAcrm8D1j5+QETsJimwWZlmYjUifLy8vTAAw8oLi5OCQkJ6tu3L9NbXGPq1KkyDEO7du2yu5RKIz8/X+PHj1ezZs3UsmVLHhy5ysqVK9W2bVslJiaqVatWWrRokd0l2eapp55STExMkf9/+DyGLxGwbMZEpCVLSUnR3r17tX37dg0YMEApKSl2l1RpbNu2TV9++WWRByacbuLEiQoKCtK+ffv07bff6pVXXrG7pErBNE09+uijSk1N1ddff60VK1Zo9OjROnPmjN2l2WLQoEH6/PPP1ahRI4/1fB5bxCHzYBGwbMREpCULDg5W//793dNcdOrUSYcOHbK5qsohPz9f48aN09y5c4tMA+Jk586dU2pqqmbMmOH+falfv77NVVUup06dknRlqKZ27dpyuVw2V2SPu+++W5GRkR7r+Dy2UCUJWAsWLFB8fLyqVq2qN954w2Pbr7/+qqFDh6pp06aKi4vThx9+WOJ5VqxYoRYtWqhp06YaOHCgzp49K4mAZavSJiKFp9dff1333nuv3WVUCpMnT9awYcMUGxtrdymVysGDB1W7dm1Nnz5d7dq1U9euXbVmzRq7y6oUDMPQ+++/r4ceekiNGjXSXXfdpUWLFjENzFX4PHaetm3b6v3339ejjz5aZNvs2bPlcrl04MABrVy5UmPHjtXJkyeL7Hf27FmNGjVKy5Yt04EDB1S/fn299NJLkghYtivLRKRON2PGDO3fv9/9l9bJNm3apC1btmjs2LF2l1LpXLx4UYcOHdLtt9+urVu36o033tCQIUP0008/2V2a7S5duqSZM2dq+fLlOnz4sNasWaPhw4frl19+sbu0SoXPY4tUkg5W69atddtttykoqGgUWrx4scaNGydJio2N1d13363ly5cX2S89PV3t2rVzz582duxYpaWlSSJg2erqiUgllTgRqZPNnj1bH374odLT0xUaGmp3ObZbv3699uzZo9jYWMXExCgnJ0d9+vRRenq63aXZrlGjRgoKCtJjjz0m6cqHZ2xsrL799lubK7Pf9u3bdfToUXXp0kWS1L59ezVo0EA7duywubLKg89j6+SapnILCsq//F/gzc3N9Vjy8/N9XuORI0c87tGLiYkptptZ3H7ff/+9CgoKCFh2unoiUkklTkTqVHPmzFFaWppWrVqlmjVr2l1OpTBx4kQdPXpUWVlZysrKUmRkpFauXKl+/frZXZrt6tSpo549e2rlypWSpMOHDyszM1PNmze3uTL7FYaHvXv3SpIOHDiggwcPKi4uzubKKg8+j/2vWrVquvXWWxUlKcKLJUpS9erVFRUVpYiICPcyc+bMYq/XtWtX1alTp9glOzv7uvVe3dEsrZtZ0r2wzORus/nz5ys5OVkzZsxwT0QKKScnR88884waN26s7t27S5JcLpc2b95sc2WozObNm6eRI0fq97//vapUqaK33nqLG90l3XLLLZo/f74GDRqkoKAgmaapuXPnqmHDhnaXZotx48Zp+fLl+uGHH9SrVy9Vr15dBw4c4PPYz4KDg5WZmakLFy54fQ7TNIsEmpIe1sjIyPD6OtHR0crKylLdunUlXfmBrX///sXu99lnn7lfZ2VlqWHDhgoKCmKiUQAA4FzJyclq166dxo8f7143ZcoUZWVlaeHChcrMzFSnTp303XffqVatWh7HnjlzRk2aNNGGDRvUokULjR8/XtWrV9esWbMIWAAAwHneffddTZw4USdPnlS1atUUFhamv//970pMTNS5c+c0cuRI/fOf/1RQUJBmzJihQYMGSbryJHeDBg00ZswYSdJHH32kCRMm6NKlS4qPj9eiRYsUHh5OwAIAAPA1bnIHAADwMQIWAACAjxGwAAAAfOx/ARaJwy76+NqTAAAAAElFTkSuQmCC"
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "w = CWorld()\n",
    "\n",
    "dummy_s = Vec2(0.0, 0.0)\n",
    "dummy_a = Vec2(0.0, 0.0)\n",
    "plot(CWorldVis(w, f=sp->reward(w,dummy_s,dummy_a,sp)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "finished iteration 50\n",
      "extracting policy...     done.\n",
      " 40.957676 seconds (40.73 M allocations: 2.479 GiB, 9.26% gc time)\n"
     ]
    }
   ],
   "source": [
    "nx = 30\n",
    "ny = 30\n",
    "grid = RectangleGrid(range(w.xlim[1], stop=w.xlim[2], length=nx), range(w.ylim[1], stop=w.ylim[2], length=ny))\n",
    "\n",
    "sol = CWorldSolver(max_iters=50, m=50, grid=grid)\n",
    "\n",
    "@time policy = solve(sol, w);"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.webio.node+json": {
       "children": [
        {
         "children": [
          {
           "children": [
            {
             "children": [
              {
               "children": [
                {
                 "children": [
                  "i"
                 ],
                 "instanceArgs": {
                  "namespace": "html",
                  "tag": "label"
                 },
                 "nodeType": "DOM",
                 "props": {
                  "className": "interact ",
                  "style": {
                   "padding": "5px 10px 0px 10px"
                  }
                 },
                 "type": "node"
                }
               ],
               "instanceArgs": {
                "namespace": "html",
                "tag": "div"
               },
               "nodeType": "DOM",
               "props": {
                "className": "interact-flex-row-left"
               },
               "type": "node"
              },
              {
               "children": [
                {
                 "children": [],
                 "instanceArgs": {
                  "namespace": "html",
                  "tag": "input"
                 },
                 "nodeType": "DOM",
                 "props": {
                  "attributes": {
                   "data-bind": "numericValue: index, valueUpdate: 'input', event: {change: function (){this.changes(this.changes()+1)}}",
                   "orient": "horizontal",
                   "type": "range"
                  },
                  "className": "slider slider is-fullwidth",
                  "max": 50,
                  "min": 1,
                  "step": 1,
                  "style": {}
                 },
                 "type": "node"
                }
               ],
               "instanceArgs": {
                "namespace": "html",
                "tag": "div"
               },
               "nodeType": "DOM",
               "props": {
                "className": "interact-flex-row-center"
               },
               "type": "node"
              },
              {
               "children": [
                {
                 "children": [],
                 "instanceArgs": {
                  "namespace": "html",
                  "tag": "p"
                 },
                 "nodeType": "DOM",
                 "props": {
                  "attributes": {
                   "data-bind": "text: formatted_val"
                  }
                 },
                 "type": "node"
                }
               ],
               "instanceArgs": {
                "namespace": "html",
                "tag": "div"
               },
               "nodeType": "DOM",
               "props": {
                "className": "interact-flex-row-right"
               },
               "type": "node"
              }
             ],
             "instanceArgs": {
              "namespace": "html",
              "tag": "div"
             },
             "nodeType": "DOM",
             "props": {
              "className": "interact-flex-row interact-widget"
             },
             "type": "node"
            }
           ],
           "instanceArgs": {
            "handlers": {
             "changes": [
              "(function (val){return (val!=this.model[\"changes\"]()) ? (this.valueFromJulia[\"changes\"]=true, this.model[\"changes\"](val)) : undefined})"
             ],
             "index": [
              "(function (val){return (val!=this.model[\"index\"]()) ? (this.valueFromJulia[\"index\"]=true, this.model[\"index\"](val)) : undefined})"
             ]
            },
            "id": "6349406068413186448",
            "imports": {
             "data": [
              {
               "name": "knockout",
               "type": "js",
               "url": "/assetserver/c20779c1e6a079277e91dddf7bd670ca92eea868-knockout.js"
              },
              {
               "name": "knockout_punches",
               "type": "js",
               "url": "/assetserver/5d0eeef6d78927a4d06f8ff08a99add46d138283-knockout_punches.js"
              },
              {
               "name": null,
               "type": "js",
               "url": "/assetserver/cb26fe9e57bb1abef82b7eb58e12f018a1428e64-all.js"
              },
              {
               "name": null,
               "type": "css",
               "url": "/assetserver/d5c3b0a1dece742679a111cbb2e6bd04a8ca0e64-style.css"
              },
              {
               "name": null,
               "type": "css",
               "url": "/assetserver/457039d154101dcb9f0c19c2735b1d6e2c611d84-bulma_confined.min.css"
              }
             ],
             "type": "async_block"
            },
            "mount_callbacks": [
             "function () {\n    var handler = (function (ko, koPunches) {\n    ko.punches.enableAll();\n    ko.bindingHandlers.numericValue = {\n        init: function(element, valueAccessor, allBindings, data, context) {\n            var stringified = ko.observable(ko.unwrap(valueAccessor()));\n            stringified.subscribe(function(value) {\n                var val = parseFloat(value);\n                if (!isNaN(val)) {\n                    valueAccessor()(val);\n                }\n            });\n            valueAccessor().subscribe(function(value) {\n                var str = JSON.stringify(value);\n                if ((str == \"0\") && ([\"-0\", \"-0.\"].indexOf(stringified()) >= 0))\n                     return;\n                 if ([\"null\", \"\"].indexOf(str) >= 0)\n                     return;\n                stringified(str);\n            });\n            ko.applyBindingsToNode(\n                element,\n                {\n                    value: stringified,\n                    valueUpdate: allBindings.get('valueUpdate'),\n                },\n                context,\n            );\n        }\n    };\n    var json_data = {\"formatted_vals\":[\"1\",\"2\",\"3\",\"4\",\"5\",\"6\",\"7\",\"8\",\"9\",\"10\",\"11\",\"12\",\"13\",\"14\",\"15\",\"16\",\"17\",\"18\",\"19\",\"20\",\"21\",\"22\",\"23\",\"24\",\"25\",\"26\",\"27\",\"28\",\"29\",\"30\",\"31\",\"32\",\"33\",\"34\",\"35\",\"36\",\"37\",\"38\",\"39\",\"40\",\"41\",\"42\",\"43\",\"44\",\"45\",\"46\",\"47\",\"48\",\"49\",\"50\"],\"changes\":WebIO.getval({\"name\":\"changes\",\"scope\":\"6349406068413186448\",\"id\":\"ob_18\",\"type\":\"observable\"}),\"index\":WebIO.getval({\"name\":\"index\",\"scope\":\"6349406068413186448\",\"id\":\"ob_17\",\"type\":\"observable\"})};\n    var self = this;\n    function AppViewModel() {\n        for (var key in json_data) {\n            var el = json_data[key];\n            this[key] = Array.isArray(el) ? ko.observableArray(el) : ko.observable(el);\n        }\n        \n        [this[\"formatted_val\"]=ko.computed(    function(){\n        return this.formatted_vals()[parseInt(this.index())-(1)];\n    }\n,this)]\n        [this[\"changes\"].subscribe((function (val){!(this.valueFromJulia[\"changes\"]) ? (WebIO.setval({\"name\":\"changes\",\"scope\":\"6349406068413186448\",\"id\":\"ob_18\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"changes\"]=false}),self),this[\"index\"].subscribe((function (val){!(this.valueFromJulia[\"index\"]) ? (WebIO.setval({\"name\":\"index\",\"scope\":\"6349406068413186448\",\"id\":\"ob_17\",\"type\":\"observable\"},val)) : undefined; return this.valueFromJulia[\"index\"]=false}),self)]\n        \n    }\n    self.model = new AppViewModel();\n    self.valueFromJulia = {};\n    for (var key in json_data) {\n        self.valueFromJulia[key] = false;\n    }\n    ko.applyBindings(self.model, self.dom);\n}\n);\n    (WebIO.importBlock({\"data\":[{\"name\":\"knockout\",\"type\":\"js\",\"url\":\"/assetserver/c20779c1e6a079277e91dddf7bd670ca92eea868-knockout.js\"},{\"name\":\"knockout_punches\",\"type\":\"js\",\"url\":\"/assetserver/5d0eeef6d78927a4d06f8ff08a99add46d138283-knockout_punches.js\"}],\"type\":\"async_block\"})).then((imports) => handler.apply(this, imports));\n}\n"
            ],
            "observables": {
             "changes": {
              "id": "ob_18",
              "sync": false,
              "value": 0
             },
             "index": {
              "id": "ob_17",
              "sync": true,
              "value": 25
             }
            },
            "systemjs_options": null
           },
           "nodeType": "Scope",
           "props": {},
           "type": "node"
          }
         ],
         "instanceArgs": {
          "namespace": "html",
          "tag": "div"
         },
         "nodeType": "DOM",
         "props": {
          "className": "field interact-widget"
         },
         "type": "node"
        },
        {
         "children": [
          {
           "children": [],
           "instanceArgs": {
            "id": "ob_24",
            "name": "obs-node"
           },
           "nodeType": "ObservableNode",
           "props": {},
           "type": "node"
          }
         ],
         "instanceArgs": {
          "handlers": {},
          "id": "12743203788219232524",
          "imports": {
           "data": [],
           "type": "async_block"
          },
          "mount_callbacks": [],
          "observables": {
           "obs-node": {
            "id": "ob_24",
            "sync": false,
            "value": {
             "children": [
              {
               "children": [],
               "instanceArgs": {
                "namespace": "html",
                "tag": "div"
               },
               "nodeType": "DOM",
               "props": {
                "setInnerHtml": "<img 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\" 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               "type": "node"
              }
             ],
             "instanceArgs": {
              "namespace": "html",
              "tag": "div"
             },
             "nodeType": "DOM",
             "props": {
              "className": "interact-flex-row interact-widget"
             },
             "type": "node"
            }
           }
          },
          "systemjs_options": null
         },
         "nodeType": "Scope",
         "props": {},
         "type": "node"
        }
       ],
       "instanceArgs": {
        "namespace": "html",
        "tag": "div"
       },
       "nodeType": "DOM",
       "props": {},
       "type": "node"
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       "    class=\"webio-mountpoint\"\n",
       "    data-webio-mountpoint=\"14636880065621266479\"\n",
       ">\n",
       "    <script>\n",
       "    if (window.require && require.defined && require.defined(\"nbextensions/webio-jupyter-notebook\")) {\n",
       "        console.log(\"Jupyter WebIO extension detected, not mounting.\");\n",
       "    } else if (window.WebIO) {\n",
       "        WebIO.mount(\n",
       "            document.querySelector('[data-webio-mountpoint=\"14636880065621266479\"]'),\n",
       "            {\"props\":{},\"nodeType\":\"DOM\",\"type\":\"node\",\"instanceArgs\":{\"namespace\":\"html\",\"tag\":\"div\"},\"children\":[{\"props\":{\"className\":\"field interact-widget\"},\"nodeType\":\"DOM\",\"type\":\"node\",\"instanceArgs\":{\"namespace\":\"html\",\"tag\":\"div\"},\"children\":[{\"props\":{},\"nodeType\":\"Scope\",\"type\":\"node\",\"instanceArgs\":{\"imports\":{\"data\":[{\"name\":\"knockout\",\"type\":\"js\",\"url\":\"\\/assetserver\\/c20779c1e6a079277e91dddf7bd670ca92eea868-knockout.js\"},{\"name\":\"knockout_punches\",\"type\":\"js\",\"url\":\"\\/assetserver\\/5d0eeef6d78927a4d06f8ff08a99add46d138283-knockout_punches.js\"},{\"name\":null,\"type\":\"js\",\"url\":\"\\/assetserver\\/cb26fe9e57bb1abef82b7eb58e12f018a1428e64-all.js\"},{\"name\":null,\"type\":\"css\",\"url\":\"\\/assetserver\\/d5c3b0a1dece742679a111cbb2e6bd04a8ca0e64-style.css\"},{\"name\":null,\"type\":\"css\",\"url\":\"\\/assetserver\\/457039d154101dcb9f0c19c2735b1d6e2c611d84-bulma_confined.min.css\"}],\"type\":\"async_block\"},\"id\":\"6349406068413186448\",\"handlers\":{\"changes\":[\"(function (val){return (val!=this.model[\\\"changes\\\"]()) ? (this.valueFromJulia[\\\"changes\\\"]=true, this.model[\\\"changes\\\"](val)) : undefined})\"],\"index\":[\"(function (val){return (val!=this.model[\\\"index\\\"]()) ? (this.valueFromJulia[\\\"index\\\"]=true, this.model[\\\"index\\\"](val)) : undefined})\"]},\"systemjs_options\":null,\"mount_callbacks\":[\"function () {\\n    var handler = (function (ko, koPunches) {\\n    ko.punches.enableAll();\\n    ko.bindingHandlers.numericValue = {\\n        init: function(element, valueAccessor, allBindings, data, context) {\\n            var stringified = ko.observable(ko.unwrap(valueAccessor()));\\n            stringified.subscribe(function(value) {\\n                var val = parseFloat(value);\\n                if (!isNaN(val)) {\\n                    valueAccessor()(val);\\n                }\\n            });\\n            valueAccessor().subscribe(function(value) {\\n                var str = JSON.stringify(value);\\n                if ((str == \\\"0\\\") && ([\\\"-0\\\", \\\"-0.\\\"].indexOf(stringified()) >= 0))\\n                     return;\\n                 if ([\\\"null\\\", \\\"\\\"].indexOf(str) >= 0)\\n                     return;\\n                stringified(str);\\n            });\\n            ko.applyBindingsToNode(\\n                element,\\n                {\\n                    value: stringified,\\n                    valueUpdate: allBindings.get('valueUpdate'),\\n                },\\n                context,\\n            );\\n        }\\n    };\\n    var json_data = {\\\"formatted_vals\\\":[\\\"1\\\",\\\"2\\\",\\\"3\\\",\\\"4\\\",\\\"5\\\",\\\"6\\\",\\\"7\\\",\\\"8\\\",\\\"9\\\",\\\"10\\\",\\\"11\\\",\\\"12\\\",\\\"13\\\",\\\"14\\\",\\\"15\\\",\\\"16\\\",\\\"17\\\",\\\"18\\\",\\\"19\\\",\\\"20\\\",\\\"21\\\",\\\"22\\\",\\\"23\\\",\\\"24\\\",\\\"25\\\",\\\"26\\\",\\\"27\\\",\\\"28\\\",\\\"29\\\",\\\"30\\\",\\\"31\\\",\\\"32\\\",\\\"33\\\",\\\"34\\\",\\\"35\\\",\\\"36\\\",\\\"37\\\",\\\"38\\\",\\\"39\\\",\\\"40\\\",\\\"41\\\",\\\"42\\\",\\\"43\\\",\\\"44\\\",\\\"45\\\",\\\"46\\\",\\\"47\\\",\\\"48\\\",\\\"49\\\",\\\"50\\\"],\\\"changes\\\":WebIO.getval({\\\"name\\\":\\\"changes\\\",\\\"scope\\\":\\\"6349406068413186448\\\",\\\"id\\\":\\\"ob_18\\\",\\\"type\\\":\\\"observable\\\"}),\\\"index\\\":WebIO.getval({\\\"name\\\":\\\"index\\\",\\\"scope\\\":\\\"6349406068413186448\\\",\\\"id\\\":\\\"ob_17\\\",\\\"type\\\":\\\"observable\\\"})};\\n    var self = this;\\n    function AppViewModel() {\\n        for (var key in json_data) {\\n            var el = json_data[key];\\n            this[key] = Array.isArray(el) ? ko.observableArray(el) : ko.observable(el);\\n        }\\n        \\n        [this[\\\"formatted_val\\\"]=ko.computed(    function(){\\n        return this.formatted_vals()[parseInt(this.index())-(1)];\\n    }\\n,this)]\\n        [this[\\\"changes\\\"].subscribe((function (val){!(this.valueFromJulia[\\\"changes\\\"]) ? (WebIO.setval({\\\"name\\\":\\\"changes\\\",\\\"scope\\\":\\\"6349406068413186448\\\",\\\"id\\\":\\\"ob_18\\\",\\\"type\\\":\\\"observable\\\"},val)) : undefined; return this.valueFromJulia[\\\"changes\\\"]=false}),self),this[\\\"index\\\"].subscribe((function (val){!(this.valueFromJulia[\\\"index\\\"]) ? (WebIO.setval({\\\"name\\\":\\\"index\\\",\\\"scope\\\":\\\"6349406068413186448\\\",\\\"id\\\":\\\"ob_17\\\",\\\"type\\\":\\\"observable\\\"},val)) : undefined; return this.valueFromJulia[\\\"index\\\"]=false}),self)]\\n        \\n    }\\n    self.model = new AppViewModel();\\n    self.valueFromJulia = {};\\n    for (var key in json_data) {\\n        self.valueFromJulia[key] = false;\\n    }\\n    ko.applyBindings(self.model, self.dom);\\n}\\n);\\n    (WebIO.importBlock({\\\"data\\\":[{\\\"name\\\":\\\"knockout\\\",\\\"type\\\":\\\"js\\\",\\\"url\\\":\\\"\\/assetserver\\/c20779c1e6a079277e91dddf7bd670ca92eea868-knockout.js\\\"},{\\\"name\\\":\\\"knockout_punches\\\",\\\"type\\\":\\\"js\\\",\\\"url\\\":\\\"\\/assetserver\\/5d0eeef6d78927a4d06f8ff08a99add46d138283-knockout_punches.js\\\"}],\\\"type\\\":\\\"async_block\\\"})).then((imports) => handler.apply(this, imports));\\n}\\n\"],\"observables\":{\"changes\":{\"sync\":false,\"id\":\"ob_18\",\"value\":0},\"index\":{\"sync\":true,\"id\":\"ob_17\",\"value\":25}}},\"children\":[{\"props\":{\"className\":\"interact-flex-row interact-widget\"},\"nodeType\":\"DOM\",\"type\":\"node\",\"instanceArgs\":{\"namespace\":\"html\",\"tag\":\"div\"},\"children\":[{\"props\":{\"className\":\"interact-flex-row-left\"},\"nodeType\":\"DOM\",\"type\":\"node\",\"instanceArgs\":{\"namespace\":\"html\",\"tag\":\"div\"},\"children\":[{\"props\":{\"className\":\"interact \",\"style\":{\"padding\":\"5px 10px 0px 10px\"}},\"nodeType\":\"DOM\",\"type\":\"node\",\"instanceArgs\":{\"namespace\":\"html\",\"tag\":\"label\"},\"children\":[\"i\"]}]},{\"props\":{\"className\":\"interact-flex-row-center\"},\"nodeType\":\"DOM\",\"type\":\"node\",\"instanceArgs\":{\"namespace\":\"html\",\"tag\":\"div\"},\"children\":[{\"props\":{\"max\":50,\"min\":1,\"attributes\":{\"type\":\"range\",\"data-bind\":\"numericValue: index, valueUpdate: 'input', event: {change: function (){this.changes(this.changes()+1)}}\",\"orient\":\"horizontal\"},\"step\":1,\"className\":\"slider slider is-fullwidth\",\"style\":{}},\"nodeType\":\"DOM\",\"type\":\"node\",\"instanceArgs\":{\"namespace\":\"html\",\"tag\":\"input\"},\"children\":[]}]},{\"props\":{\"className\":\"interact-flex-row-right\"},\"nodeType\":\"DOM\",\"type\":\"node\",\"instanceArgs\":{\"namespace\":\"html\",\"tag\":\"div\"},\"children\":[{\"props\":{\"attributes\":{\"data-bind\":\"text: formatted_val\"}},\"nodeType\":\"DOM\",\"type\":\"node\",\"instanceArgs\":{\"namespace\":\"html\",\"tag\":\"p\"},\"children\":[]}]}]}]}]},{\"props\":{},\"nodeType\":\"Scope\",\"type\":\"node\",\"instanceArgs\":{\"imports\":{\"data\":[],\"type\":\"async_block\"},\"id\":\"11376338058457656113\",\"handlers\":{},\"systemjs_options\":null,\"mount_callbacks\":[],\"observables\":{\"obs-node\":{\"sync\":false,\"id\":\"ob_22\",\"value\":{\"props\":{\"className\":\"interact-flex-row 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       "            window,\n",
       "        );\n",
       "    } else {\n",
       "        document\n",
       "            .querySelector('[data-webio-mountpoint=\"14636880065621266479\"]')\n",
       "            .innerHTML = (\n",
       "                '<strong>WebIO not detected. Please read ' +\n",
       "                '<a href=\"https://juliagizmos.github.io/WebIO.jl/latest/troubleshooting/not-detected/\">the troubleshooting guide</a> ' +\n",
       "                'for more information on how to resolve this issue.' +\n",
       "                '</strong>'\n",
       "            );\n",
       "    }\n",
       "    </script>\n",
       "</div>\n"
      ],
      "text/plain": [
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       "25, nothing)), Set(String[]), nothing, Asset[Asset(\"js\", \"knockout\", \"C:\\\\Users\\\\rmoss\\\\.julia\\\\packages\\\\Knockout\\\\1sDlc\\\\src\\\\..\\\\assets\\\\knockout.js\"), Asset(\"js\", \"knockout_punches\", \"C:\\\\Users\\\\rmoss\\\\.julia\\\\packages\\\\Knockout\\\\1sDlc\\\\src\\\\..\\\\assets\\\\knockout_punches.js\"), Asset(\"js\", nothing, \"C:\\\\Users\\\\rmoss\\\\.julia\\\\packages\\\\InteractBase\\\\9mFwe\\\\src\\\\..\\\\assets\\\\all.js\"), Asset(\"css\", nothing, \"C:\\\\Users\\\\rmoss\\\\.julia\\\\packages\\\\InteractBase\\\\9mFwe\\\\src\\\\..\\\\assets\\\\style.css\"), Asset(\"css\", nothing, \"C:\\\\Users\\\\rmoss\\\\.julia\\\\packages\\\\Interact\\\\SbgIk\\\\src\\\\..\\\\assets\\\\bulma_confined.min.css\")], Dict{Any,Any}(\"changes\" => Any[WebIO.JSString(\"(function (val){return (val!=this.model[\\\"changes\\\"]()) ? (this.valueFromJulia[\\\"changes\\\"]=true, this.model[\\\"changes\\\"](val)) : undefined})\")],\"index\" => Any[WebIO.JSString(\"(function (val){return (val!=this.model[\\\"index\\\"]()) ? (this.valueFromJulia[\\\"index\\\"]=true, this.model[\\\"index\\\"](val)) : undefined})\")]), WebIO.ConnectionPool(Channel{Any}(sz_max:32,sz_curr:0), Set(AbstractConnection[]), Base.GenericCondition{Base.AlwaysLockedST}(Base.InvasiveLinkedList{Task}(Task (runnable) @0x000000002dc35430, Task (runnable) @0x000000002dc35430), Base.AlwaysLockedST(1))), WebIO.JSString[WebIO.JSString(\"function () {\\n    var handler = (function (ko, koPunches) {\\n    ko.punches.enableAll();\\n    ko.bindingHandlers.numericValue = {\\n        init: function(element, valueAccessor, allBindings, data, context) {\\n            var stringified = ko.observable(ko.unwrap(valueAccessor()));\\n            stringified.subscribe(function(value) {\\n                var val = parseFloat(value);\\n                if (!isNaN(val)) {\\n                    valueAccessor()(val);\\n                }\\n            });\\n            valueAccessor().subscribe(function(value) {\\n                var str = JSON.stringify(value);\\n                if ((str == \\\"0\\\") && ([\\\"-0\\\", \\\"-0.\\\"].indexOf(stringified()) >= 0))\\n                     return;\\n                 if ([\\\"null\\\", \\\"\\\"].indexOf(str) >= 0)\\n                     return;\\n                stringified(str);\\n            });\\n            ko.applyBindingsToNode(\\n                element,\\n                {\\n                    value: stringified,\\n                    valueUpdate: allBindings.get('valueUpdate'),\\n                },\\n                context,\\n            );\\n        }\\n    };\\n    var json_data = {\\\"formatted_vals\\\":[\\\"1\\\",\\\"2\\\",\\\"3\\\",\\\"4\\\",\\\"5\\\",\\\"6\\\",\\\"7\\\",\\\"8\\\",\\\"9\\\",\\\"10\\\",\\\"11\\\",\\\"12\\\",\\\"13\\\",\\\"14\\\",\\\"15\\\",\\\"16\\\",\\\"17\\\",\\\"18\\\",\\\"19\\\",\\\"20\\\",\\\"21\\\",\\\"22\\\",\\\"23\\\",\\\"24\\\",\\\"25\\\",\\\"26\\\",\\\"27\\\",\\\"28\\\",\\\"29\\\",\\\"30\\\",\\\"31\\\",\\\"32\\\",\\\"33\\\",\\\"34\\\",\\\"35\\\",\\\"36\\\",\\\"37\\\",\\\"38\\\",\\\"39\\\",\\\"40\\\",\\\"41\\\",\\\"42\\\",\\\"43\\\",\\\"44\\\",\\\"45\\\",\\\"46\\\",\\\"47\\\",\\\"48\\\",\\\"49\\\",\\\"50\\\"],\\\"changes\\\":WebIO.getval({\\\"name\\\":\\\"changes\\\",\\\"scope\\\":\\\"6349406068413186448\\\",\\\"id\\\":\\\"ob_18\\\",\\\"type\\\":\\\"observable\\\"}),\\\"index\\\":WebIO.getval({\\\"name\\\":\\\"index\\\",\\\"scope\\\":\\\"6349406068413186448\\\",\\\"id\\\":\\\"ob_17\\\",\\\"type\\\":\\\"observable\\\"})};\\n    var self = this;\\n    function AppViewModel() {\\n        for (var key in json_data) {\\n            var el = json_data[key];\\n            this[key] = Array.isArray(el) ? ko.observableArray(el) : ko.observable(el);\\n        }\\n        \\n        [this[\\\"formatted_val\\\"]=ko.computed(    function(){\\n        return this.formatted_vals()[parseInt(this.index())-(1)];\\n    }\\n,this)]\\n        [this[\\\"changes\\\"].subscribe((function (val){!(this.valueFromJulia[\\\"changes\\\"]) ? (WebIO.setval({\\\"name\\\":\\\"changes\\\",\\\"scope\\\":\\\"6349406068413186448\\\",\\\"id\\\":\\\"ob_18\\\",\\\"type\\\":\\\"observable\\\"},val)) : undefined; return this.valueFromJulia[\\\"changes\\\"]=false}),self),this[\\\"index\\\"].subscribe((function (val){!(this.valueFromJulia[\\\"index\\\"]) ? (WebIO.setval({\\\"name\\\":\\\"index\\\",\\\"scope\\\":\\\"6349406068413186448\\\",\\\"id\\\":\\\"ob_17\\\",\\\"type\\\":\\\"observable\\\"},val)) : undefined; return this.valueFromJulia[\\\"index\\\"]=false}),self)]\\n        \\n    }\\n    self.model = new AppViewModel();\\n    self.valueFromJulia = {};\\n    for (var key in json_data) {\\n        self.valueFromJulia[key] = false;\\n    }\\n    ko.applyBindings(self.model, self.dom);\\n}\\n);\\n    (WebIO.importBlock({\\\"data\\\":[{\\\"name\\\":\\\"knockout\\\",\\\"type\\\":\\\"js\\\",\\\"url\\\":\\\"/assetserver/c20779c1e6a079277e91dddf7bd670ca92eea868-knockout.js\\\"},{\\\"name\\\":\\\"knockout_punches\\\",\\\"type\\\":\\\"js\\\",\\\"url\\\":\\\"/assetserver/5d0eeef6d78927a4d06f8ff08a99add46d138283-knockout_punches.js\\\"}],\\\"type\\\":\\\"async_block\\\"})).then((imports) => handler.apply(this, imports));\\n}\\n\")])], Dict{Symbol,Any}(:className => \"field interact-widget\")), Observable{Any} with 0 listeners. Value:\n",
       "Node{WebIO.DOM}(WebIO.DOM(:html, :div), Any[Plot{Plots.PyPlotBackend() n=2}], Dict{Symbol,Any}(:className => \"interact-flex-row interact-widget\"))], Dict{Symbol,Any}())"
      ]
     },
     "execution_count": 12,
     "metadata": {
      "application/vnd.webio.node+json": {
       "kernelId": "f9befb63-174a-4880-847c-bfc83fe68724"
      }
     },
     "output_type": "execute_result"
    }
   ],
   "source": [
    "@manipulate for i in 1:length(sol.value_hist)\n",
    "    v = sol.value_hist[i]\n",
    "    t = \"Iteration $i\"\n",
    "    plot(CWorldVis(w, f=s->evaluate(v, s),\n",
    "            g=sol.grid,\n",
    "            title=t))\n",
    "end"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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"
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "plot(CWorldVis(w, f=s->action_ind(policy, s), g=sol.grid, title=\"Policy\"))"
   ]
  }
 ],
 "metadata": {
  "@webio": {
   "lastCommId": "9d058b3e8e40404e8ff18acfe035df4d",
   "lastKernelId": "6ac595e2-a856-49fb-ac7f-6558e8a29132"
  },
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Julia 1.2.0",
   "language": "julia",
   "name": "julia-1.2"
  },
  "language_info": {
   "file_extension": ".jl",
   "mimetype": "application/julia",
   "name": "julia",
   "version": "1.2.0"
  },
  "widgets": {
   "state": {
    "62aad1cc-7485-4939-bdb1-be07acdba3da": {
     "views": [
      {
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