21-Reinforcement-Learning

[redblobgames]

Visualizations and code for chapter 21

[alireza-a]

I start with the Passive-ADP-Agent (Fig 21.2) and I want to visualize it evaluating a fixed policy in the 3x4 world (Fig 21.1). I have decided to use D3.js to visualize the environment. I want to use the Python code as a base for my implementation.

[Ghost---Shadow]

Our original plan was to stick to javascript as we wanted to make the whole think static host-able. I will wait for @redblobgames for any revisions on that.

[redblobgames]

@alireza-a Sounds like a good start. We have been using two.js for visualization so before you use d3.js look to see if two.js works (to keep consistency with the existing code base). Translating the python code to javascript seems like a good approach.

[alireza-a]

Sure I will only depend on two.js. I mapped over MDP, GridWorld, and PassiveADPAgent (only the parts that I need) from the Python Implementation to JS. I could not find anything about testing on the repo. Do we only rely on the visualizations since it's a static site? If so, should I only make a pull request after the visualizations have been added?

[redblobgames]

Testing would be nice. I'm not sure how to best approach it. Yes, we could have automated tests for the algorithms, but the main focus of the work is the visualizations, and those we'll have to test by asking people to try it out (user testing instead of unit testing).

Yes, make a pull request after you've made a visualization or two. For some visualizations you may have to write the algorithm in a non-standard way to make the visualization work.

A lot of this project will be experimental. Implementing the algorithms is work but it's work we know how to do. Interactive/animated visualizations for algorithms is something where we don't know which visualizations will be good, so we may have to make some and throw some away.

Some visualizations will be for the problems, some will show concepts, and other visualizations will show the solutions (algorithms). Some visualizations can ask the reader to interact; look at this example. Some visualizations may be animated without the reader providing much input; look at these examples. We'll figure this out by experimenting :-) and I think it may be different in each chapter.

[alireza-a]

So far, I have mapped over the MDP, GridWorld, and Policy Evaluation from the Python Implementation and I have visualized the Policy Evaluation on the GridWorld with a fixed policy (Fig 21.1). Here is the Policy Evaluation Demo.

The MDP and GridWorld are shared between chapter 17 and 21. Would this mean a reimplementation of MDP and GridWorld by whoever takes on chapter 17 or do you prefer a single implementation between the two chapter?

[redblobgames]

@alireza-a cool

The main goal is the visualizations, so feel free to reuse between chapters if it works better, or reimplement if that works better. With the experimental nature of this project, sometimes it's easier to have two copies of the code while rapidly iterating on the visualizations, and then go back and merge them after we figure out which visualizations worked well.

[alireza-a]

My next steps:

1. Visualize Passive Agents (on Grid World)
2. Explore adding a graph to show the delta in state values over iterations (to compare how fast the information propagates in different algorithms)

[alireza-a]

State Value Graph Demo

comments & questions

1. I changed the width of the content to fit in both the graph and the GridWorld side by side. This is inconsistent with the other chapters.
   Is it acceptable to have a different content width for each chapter?
2. I used NVD3 to create the graph. NVD3 is built on top of D3.js. However, it is not yet recommended to use NVD3 with D3 version 4.X (I used D3 version 3.5.17).
   Is NVD3 a reasonable choice?
3. The graph progresses after an iteration completes. In the demo, I tap quickly to reach the equilibrium state values. I think it is better to just click on a start button and let the environment evolve compared with tapping over and over to see the changes.
   What do you think?

@redblobgames is this close to what you had in mind?

[redblobgames]

@alireza-a pretty cool to see the convergence! It's not quite what I had in mind but it works :-)

1. Yes, it's acceptable and expected to have different formatting for each chapter. Chapters are so different from one another that I don't think we can expect consistency at the beginning. We want to focus on finding the most useful visualizations (experimentation).
2. NVD3 is fine. I think we can re-evaluate later to see if we end up using lots of charts or not. It's unclear at this early stage.
3. I agree, the tapping seems excessive, and either an animation or slider might be nicer. Tapping might be more useful in an algorithm where the reader can make a choice.

I also wonder about how to show the individual steps. Right now you tap to see one number improve at a time, but it's unclear how that estimate is actually improving. This might be something that we can think about once we get to the later algorithms — we can show how the algorithms differ. Or maybe the individual steps aren't what we want to focus on, and there's some other aspect of the algorithm we want the reader to focus on.

[alireza-a]

I agree, the tapping seems excessive, and either an animation or slider might be nicer. Tapping might be more useful in an algorithm where the reader can make a choice.

My original implementation used animations. To show what happened at every step, I slowed down the animations. This made it take far too long to converge so I switched to tapping. I will try slider this time.

Also, I will be preoccupied with final exams until April 23rd.

[redblobgames]

Ah, makes sense. A slider can either control animation speed or the simulation time.

• If you're doing animation speed then instead of setInterval you can use setTimeout each time through the loop, and then the slider would control the timeout parameter.
• If you're doing simulation time then one way to implement it is to run the entire algorithm to the end, and record the state along the way. Then the slider will display the recording.

[alireza-a]

@redblobgames I like the progress bar, start/pause, and next/back interface you used in your A* search article. I will create a similar interface.

[alireza-a]

I reimplemented all the visualizations with D3.js and created a similar interface to the A* search article. Here is a demo for what I have so far.

• I need to play with the color scheme and transitions further
• I am considering other graphing libraries for the state-values

Is there anything else I should try before moving on to the next agent?