diff --git a/colab/Colab_UnityEnvironment_1_Run.ipynb b/colab/Colab_UnityEnvironment_1_Run.ipynb
index 19b4df5f43..70f4abfc00 100644
--- a/colab/Colab_UnityEnvironment_1_Run.ipynb
+++ b/colab/Colab_UnityEnvironment_1_Run.ipynb
@@ -32,7 +32,7 @@
},
"source": [
"# ML-Agents Open a UnityEnvironment\n",
- "
"
+ "
"
]
},
{
@@ -146,7 +146,7 @@
" import mlagents\n",
" print(\"ml-agents already installed\")\n",
"except ImportError:\n",
- " !python -m pip install -q mlagents==0.27.0\n",
+ " !python -m pip install -q mlagents==0.28.0\n",
" print(\"Installed ml-agents\")"
],
"execution_count": null,
diff --git a/colab/Colab_UnityEnvironment_2_Train.ipynb b/colab/Colab_UnityEnvironment_2_Train.ipynb
index 7f212c156a..1d85f578c4 100644
--- a/colab/Colab_UnityEnvironment_2_Train.ipynb
+++ b/colab/Colab_UnityEnvironment_2_Train.ipynb
@@ -31,7 +31,7 @@
},
"source": [
"# ML-Agents Q-Learning with GridWorld\n",
- "
"
+ "
"
]
},
{
@@ -145,7 +145,7 @@
" import mlagents\n",
" print(\"ml-agents already installed\")\n",
"except ImportError:\n",
- " !python -m pip install -q mlagents==0.27.0\n",
+ " !python -m pip install -q mlagents==0.28.0\n",
" print(\"Installed ml-agents\")"
],
"execution_count": null,
@@ -175,7 +175,7 @@
"id": "pZhVRfdoyPmv"
},
"source": [
- "The [GridWorld](https://github.com/Unity-Technologies/ml-agents/blob/release_18_docs/docs/Learning-Environment-Examples.md#gridworld) Environment is a simple Unity visual environment. The Agent is a blue square in a 3x3 grid that is trying to reach a green __`+`__ while avoiding a red __`x`__.\n",
+ "The [GridWorld](https://github.com/Unity-Technologies/ml-agents/blob/release_19_docs/docs/Learning-Environment-Examples.md#gridworld) Environment is a simple Unity visual environment. The Agent is a blue square in a 3x3 grid that is trying to reach a green __`+`__ while avoiding a red __`x`__.\n",
"\n",
"The observation is an image obtained by a camera on top of the grid.\n",
"\n",
diff --git a/colab/Colab_UnityEnvironment_3_SideChannel.ipynb b/colab/Colab_UnityEnvironment_3_SideChannel.ipynb
index f9c9bed408..ede4adfc45 100644
--- a/colab/Colab_UnityEnvironment_3_SideChannel.ipynb
+++ b/colab/Colab_UnityEnvironment_3_SideChannel.ipynb
@@ -32,7 +32,7 @@
},
"source": [
"# ML-Agents Use SideChannels\n",
- "
"
+ "
"
]
},
{
@@ -146,7 +146,7 @@
" import mlagents\n",
" print(\"ml-agents already installed\")\n",
"except ImportError:\n",
- " !python -m pip install -q mlagents==0.27.0\n",
+ " !python -m pip install -q mlagents==0.28.0\n",
" print(\"Installed ml-agents\")"
],
"execution_count": null,
@@ -161,7 +161,7 @@
"## Side Channel\n",
"\n",
"SideChannels are objects that can be passed to the constructor of a UnityEnvironment or the `make()` method of a registry entry to send non Reinforcement Learning related data.\n",
- "More information available [here](https://github.com/Unity-Technologies/ml-agents/blob/release_18_docs/docs/Python-API.md#communicating-additional-information-with-the-environment)\n",
+ "More information available [here](https://github.com/Unity-Technologies/ml-agents/blob/release_19_docs/docs/Python-API.md#communicating-additional-information-with-the-environment)\n",
"\n",
"\n",
"\n"
@@ -174,7 +174,7 @@
},
"source": [
"### Engine Configuration SideChannel\n",
- "The [Engine Configuration Side Channel](https://github.com/Unity-Technologies/ml-agents/blob/release_18_docs/docs/Python-API.md#engineconfigurationchannel) is used to configure how the Unity Engine should run.\n",
+ "The [Engine Configuration Side Channel](https://github.com/Unity-Technologies/ml-agents/blob/release_19_docs/docs/Python-API.md#engineconfigurationchannel) is used to configure how the Unity Engine should run.\n",
"We will use the GridWorld environment to demonstrate how to use the EngineConfigurationChannel."
]
},
@@ -226,7 +226,7 @@
},
"source": [
"### Environment Parameters Channel\n",
- "The [Environment Parameters Side Channel](https://github.com/Unity-Technologies/ml-agents/blob/release_18_docs/docs/Python-API.md#environmentparameters) is used to modify environment parameters during the simulation.\n",
+ "The [Environment Parameters Side Channel](https://github.com/Unity-Technologies/ml-agents/blob/release_19_docs/docs/Python-API.md#environmentparameters) is used to modify environment parameters during the simulation.\n",
"We will use the GridWorld environment to demonstrate how to use the EngineConfigurationChannel."
]
},
@@ -296,7 +296,7 @@
},
"source": [
"### Creating your own Side Channels\n",
- "You can send various kinds of data between a Unity Environment and Python but you will need to [create your own implementation of a Side Channel](https://github.com/Unity-Technologies/ml-agents/blob/release_18_docs/docs/Custom-SideChannels.md#custom-side-channels) for advanced use cases.\n"
+ "You can send various kinds of data between a Unity Environment and Python but you will need to [create your own implementation of a Side Channel](https://github.com/Unity-Technologies/ml-agents/blob/release_19_docs/docs/Custom-SideChannels.md#custom-side-channels) for advanced use cases.\n"
]
}
]
diff --git a/com.unity.ml-agents.extensions/Documentation~/com.unity.ml-agents.extensions.md b/com.unity.ml-agents.extensions/Documentation~/com.unity.ml-agents.extensions.md
index 3fe2a18ca1..fb4930e14d 100644
--- a/com.unity.ml-agents.extensions/Documentation~/com.unity.ml-agents.extensions.md
+++ b/com.unity.ml-agents.extensions/Documentation~/com.unity.ml-agents.extensions.md
@@ -28,24 +28,24 @@ The ML-Agents Extensions package is not currently available in the Package Manag
recommended ways to install the package:
### Local Installation
-[Clone the repository](https://github.com/Unity-Technologies/ml-agents/tree/release_18_docs/docs/Installation.md#clone-the-ml-agents-toolkit-repository-optional) and follow the
-[Local Installation for Development](https://github.com/Unity-Technologies/ml-agents/tree/release_18_docs/docs/Installation.md#advanced-local-installation-for-development-1)
+[Clone the repository](https://github.com/Unity-Technologies/ml-agents/tree/release_19_docs/docs/Installation.md#clone-the-ml-agents-toolkit-repository-optional) and follow the
+[Local Installation for Development](https://github.com/Unity-Technologies/ml-agents/tree/release_19_docs/docs/Installation.md#advanced-local-installation-for-development-1)
directions (substituting `com.unity.ml-agents.extensions` for the package name).
### Github via Package Manager
In Unity 2019.4 or later, open the Package Manager, hit the "+" button, and select "Add package from git URL".
-
+
In the dialog that appears, enter
```
-git+https://github.com/Unity-Technologies/ml-agents.git?path=com.unity.ml-agents.extensions#release_18
+git+https://github.com/Unity-Technologies/ml-agents.git?path=com.unity.ml-agents.extensions#release_19
```
You can also edit your project's `manifest.json` directly and add the following line to the `dependencies`
section:
```
-"com.unity.ml-agents.extensions": "git+https://github.com/Unity-Technologies/ml-agents.git?path=com.unity.ml-agents.extensions#release_18",
+"com.unity.ml-agents.extensions": "git+https://github.com/Unity-Technologies/ml-agents.git?path=com.unity.ml-agents.extensions#release_19",
```
See [Git dependencies](https://docs.unity3d.com/Manual/upm-git.html#subfolder) for more information. Note that this
may take several minutes to resolve the packages the first time that you add it.
@@ -67,4 +67,4 @@ If using the `InputActuatorComponent`
- No way to customize the action space of the `InputActuatorComponent`
## Need Help?
-The main [README](https://github.com/Unity-Technologies/ml-agents/tree/release_18_docs/README.md) contains links for contacting the team or getting support.
+The main [README](https://github.com/Unity-Technologies/ml-agents/tree/release_19_docs/README.md) contains links for contacting the team or getting support.
diff --git a/com.unity.ml-agents.extensions/package.json b/com.unity.ml-agents.extensions/package.json
index c000b330fd..130c24f916 100644
--- a/com.unity.ml-agents.extensions/package.json
+++ b/com.unity.ml-agents.extensions/package.json
@@ -1,11 +1,11 @@
{
"name": "com.unity.ml-agents.extensions",
"displayName": "ML Agents Extensions",
- "version": "0.5.0-preview",
+ "version": "0.6.0-preview",
"unity": "2019.4",
"description": "A source-only package for new features based on ML-Agents",
"dependencies": {
- "com.unity.ml-agents": "2.1.0-exp.1",
+ "com.unity.ml-agents": "2.2.0",
"com.unity.modules.physics": "1.0.0"
}
}
diff --git a/com.unity.ml-agents/Documentation~/com.unity.ml-agents.md b/com.unity.ml-agents/Documentation~/com.unity.ml-agents.md
index b5de7078c8..7e90deef39 100644
--- a/com.unity.ml-agents/Documentation~/com.unity.ml-agents.md
+++ b/com.unity.ml-agents/Documentation~/com.unity.ml-agents.md
@@ -61,25 +61,25 @@ With the changes to Unity Package Manager in 2021, experimental packages will no
In Unity 2019.4 or later, open the Package Manager, hit the "+" button, and select "Add package from git URL".
-
+
In the dialog that appears, enter
```
-git+https://github.com/Unity-Technologies/ml-agents.git?path=com.unity.ml-agents#release_18
+git+https://github.com/Unity-Technologies/ml-agents.git?path=com.unity.ml-agents#release_19
```
You can also edit your project's `manifest.json` directly and add the following line to the `dependencies`
section:
```
-"com.unity.ml-agents": "git+https://github.com/Unity-Technologies/ml-agents.git?path=com.unity.ml-agents#release_18",
+"com.unity.ml-agents": "git+https://github.com/Unity-Technologies/ml-agents.git?path=com.unity.ml-agents#release_19",
```
See [Git dependencies](https://docs.unity3d.com/Manual/upm-git.html#subfolder) for more information. Note that this
may take several minutes to resolve the packages the first time that you add it.
#### Local Installation for Development
-[Clone the repository](https://github.com/Unity-Technologies/ml-agents/tree/release_18_docs/docs/Installation.md#clone-the-ml-agents-toolkit-repository-optional) and follow the
-[Local Installation for Development](https://github.com/Unity-Technologies/ml-agents/tree/release_18_docs/docs/Installation.md#advanced-local-installation-for-development-1)
+[Clone the repository](https://github.com/Unity-Technologies/ml-agents/tree/release_19_docs/docs/Installation.md#clone-the-ml-agents-toolkit-repository-optional) and follow the
+[Local Installation for Development](https://github.com/Unity-Technologies/ml-agents/tree/release_19_docs/docs/Installation.md#advanced-local-installation-for-development-1)
directions.
## Requirements
@@ -152,10 +152,10 @@ Please refer to "Information that is passively collected by Unity" in the
[unity ML-Agents Toolkit]: https://github.com/Unity-Technologies/ml-agents
[unity inference engine]: https://docs.unity3d.com/Packages/com.unity.barracuda@latest/index.html
[package manager documentation]: https://docs.unity3d.com/Manual/upm-ui-install.html
-[installation instructions]: https://github.com/Unity-Technologies/ml-agents/blob/release_18_docs/docs/Installation.md
+[installation instructions]: https://github.com/Unity-Technologies/ml-agents/blob/release_19_docs/docs/Installation.md
[github repository]: https://github.com/Unity-Technologies/ml-agents
[python package]: https://github.com/Unity-Technologies/ml-agents
[execution order of event functions]: https://docs.unity3d.com/Manual/ExecutionOrder.html
[connect with us]: https://github.com/Unity-Technologies/ml-agents#community-and-feedback
[ml-agents forum]: https://forum.unity.com/forums/ml-agents.453/
-[ML-Agents GitHub repo]: https://github.com/Unity-Technologies/ml-agents/blob/release_18_docs/com.unity.ml-agents.extensions
+[ML-Agents GitHub repo]: https://github.com/Unity-Technologies/ml-agents/blob/release_19_docs/com.unity.ml-agents.extensions
diff --git a/com.unity.ml-agents/Runtime/Academy.cs b/com.unity.ml-agents/Runtime/Academy.cs
index 409ccb1dca..f9725582d2 100644
--- a/com.unity.ml-agents/Runtime/Academy.cs
+++ b/com.unity.ml-agents/Runtime/Academy.cs
@@ -20,7 +20,7 @@
* API. For more information on each of these entities, in addition to how to
* set-up a learning environment and train the behavior of characters in a
* Unity scene, please browse our documentation pages on GitHub:
- * https://github.com/Unity-Technologies/ml-agents/tree/release_18_docs/docs/
+ * https://github.com/Unity-Technologies/ml-agents/tree/release_19_docs/docs/
*/
namespace Unity.MLAgents
@@ -61,7 +61,7 @@ void FixedUpdate()
/// fall back to inference or heuristic decisions. (You can also set agents to always use
/// inference or heuristics.)
///
- [HelpURL("https://github.com/Unity-Technologies/ml-agents/tree/release_18_docs/" +
+ [HelpURL("https://github.com/Unity-Technologies/ml-agents/tree/release_19_docs/" +
"docs/Learning-Environment-Design.md")]
public class Academy : IDisposable
{
@@ -107,7 +107,7 @@ public class Academy : IDisposable
/// Unity package version of com.unity.ml-agents.
/// This must match the version string in package.json and is checked in a unit test.
///
- internal const string k_PackageVersion = "2.1.0-exp.1";
+ internal const string k_PackageVersion = "2.2.0";
const int k_EditorTrainingPort = 5004;
diff --git a/com.unity.ml-agents/Runtime/Actuators/IActionReceiver.cs b/com.unity.ml-agents/Runtime/Actuators/IActionReceiver.cs
index d89a6197a0..1586e6215b 100644
--- a/com.unity.ml-agents/Runtime/Actuators/IActionReceiver.cs
+++ b/com.unity.ml-agents/Runtime/Actuators/IActionReceiver.cs
@@ -184,7 +184,7 @@ public interface IActionReceiver
///
/// See [Agents - Actions] for more information on masking actions.
///
- /// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_18_docs/docs/Learning-Environment-Design-Agents.md#actions
+ /// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_19_docs/docs/Learning-Environment-Design-Agents.md#actions
///
///
void WriteDiscreteActionMask(IDiscreteActionMask actionMask);
diff --git a/com.unity.ml-agents/Runtime/Actuators/IDiscreteActionMask.cs b/com.unity.ml-agents/Runtime/Actuators/IDiscreteActionMask.cs
index dbeb9fb21b..1a100b68e1 100644
--- a/com.unity.ml-agents/Runtime/Actuators/IDiscreteActionMask.cs
+++ b/com.unity.ml-agents/Runtime/Actuators/IDiscreteActionMask.cs
@@ -16,7 +16,7 @@ public interface IDiscreteActionMask
///
/// See [Agents - Actions] for more information on masking actions.
///
- /// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_18_docs/docs/Learning-Environment-Design-Agents.md#masking-discrete-actions
+ /// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_19_docs/docs/Learning-Environment-Design-Agents.md#masking-discrete-actions
///
/// The branch for which the actions will be masked.
/// Index of the action.
diff --git a/com.unity.ml-agents/Runtime/Agent.cs b/com.unity.ml-agents/Runtime/Agent.cs
index 524378535a..54dc03e5e4 100644
--- a/com.unity.ml-agents/Runtime/Agent.cs
+++ b/com.unity.ml-agents/Runtime/Agent.cs
@@ -185,13 +185,13 @@ public override BuiltInActuatorType GetBuiltInActuatorType()
/// [OnDisable()]: https://docs.unity3d.com/ScriptReference/MonoBehaviour.OnDisable.html]
/// [OnBeforeSerialize()]: https://docs.unity3d.com/ScriptReference/MonoBehaviour.OnBeforeSerialize.html
/// [OnAfterSerialize()]: https://docs.unity3d.com/ScriptReference/MonoBehaviour.OnAfterSerialize.html
- /// [Agents]: https://github.com/Unity-Technologies/ml-agents/blob/release_18_docs/docs/Learning-Environment-Design-Agents.md
- /// [Reinforcement Learning in Unity]: https://github.com/Unity-Technologies/ml-agents/blob/release_18_docs/docs/Learning-Environment-Design.md
+ /// [Agents]: https://github.com/Unity-Technologies/ml-agents/blob/release_19_docs/docs/Learning-Environment-Design-Agents.md
+ /// [Reinforcement Learning in Unity]: https://github.com/Unity-Technologies/ml-agents/blob/release_19_docs/docs/Learning-Environment-Design.md
/// [Unity ML-Agents Toolkit]: https://github.com/Unity-Technologies/ml-agents
- /// [Unity ML-Agents Toolkit manual]: https://github.com/Unity-Technologies/ml-agents/blob/release_18_docs/docs/Readme.md
+ /// [Unity ML-Agents Toolkit manual]: https://github.com/Unity-Technologies/ml-agents/blob/release_19_docs/docs/Readme.md
///
///
- [HelpURL("https://github.com/Unity-Technologies/ml-agents/blob/release_18_docs/" +
+ [HelpURL("https://github.com/Unity-Technologies/ml-agents/blob/release_19_docs/" +
"docs/Learning-Environment-Design-Agents.md")]
[Serializable]
[RequireComponent(typeof(BehaviorParameters))]
@@ -694,8 +694,8 @@ public int CompletedEpisodes
/// for information about mixing reward signals from curiosity and Generative Adversarial
/// Imitation Learning (GAIL) with rewards supplied through this method.
///
- /// [Agents - Rewards]: https://github.com/Unity-Technologies/ml-agents/blob/release_18_docs/docs/Learning-Environment-Design-Agents.md#rewards
- /// [Reward Signals]: https://github.com/Unity-Technologies/ml-agents/blob/release_18_docs/docs/ML-Agents-Overview.md#a-quick-note-on-reward-signals
+ /// [Agents - Rewards]: https://github.com/Unity-Technologies/ml-agents/blob/release_19_docs/docs/Learning-Environment-Design-Agents.md#rewards
+ /// [Reward Signals]: https://github.com/Unity-Technologies/ml-agents/blob/release_19_docs/docs/ML-Agents-Overview.md#a-quick-note-on-reward-signals
///
/// The new value of the reward.
public void SetReward(float reward)
@@ -722,8 +722,8 @@ public void SetReward(float reward)
/// for information about mixing reward signals from curiosity and Generative Adversarial
/// Imitation Learning (GAIL) with rewards supplied through this method.
///
- /// [Agents - Rewards]: https://github.com/Unity-Technologies/ml-agents/blob/release_18_docs/docs/Learning-Environment-Design-Agents.md#rewards
- /// [Reward Signals]: https://github.com/Unity-Technologies/ml-agents/blob/release_18_docs/docs/ML-Agents-Overview.md#a-quick-note-on-reward-signals
+ /// [Agents - Rewards]: https://github.com/Unity-Technologies/ml-agents/blob/release_19_docs/docs/Learning-Environment-Design-Agents.md#rewards
+ /// [Reward Signals]: https://github.com/Unity-Technologies/ml-agents/blob/release_19_docs/docs/ML-Agents-Overview.md#a-quick-note-on-reward-signals
///
/// Incremental reward value.
public void AddReward(float increment)
@@ -911,8 +911,8 @@ public virtual void Initialize() { }
/// implementing a simple heuristic function can aid in debugging agent actions and interactions
/// with its environment.
///
- /// [Demonstration Recorder]: https://github.com/Unity-Technologies/ml-agents/blob/release_18_docs/docs/Learning-Environment-Design-Agents.md#recording-demonstrations
- /// [Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_18_docs/docs/Learning-Environment-Design-Agents.md#actions
+ /// [Demonstration Recorder]: https://github.com/Unity-Technologies/ml-agents/blob/release_19_docs/docs/Learning-Environment-Design-Agents.md#recording-demonstrations
+ /// [Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_19_docs/docs/Learning-Environment-Design-Agents.md#actions
/// [GameObject]: https://docs.unity3d.com/Manual/GameObjects.html
///
///
@@ -1167,7 +1167,7 @@ void ResetSensors()
/// For more information about observations, see [Observations and Sensors].
///
/// [GameObject]: https://docs.unity3d.com/Manual/GameObjects.html
- /// [Observations and Sensors]: https://github.com/Unity-Technologies/ml-agents/blob/release_18_docs/docs/Learning-Environment-Design-Agents.md#observations-and-sensors
+ /// [Observations and Sensors]: https://github.com/Unity-Technologies/ml-agents/blob/release_19_docs/docs/Learning-Environment-Design-Agents.md#observations-and-sensors
///
public virtual void CollectObservations(VectorSensor sensor)
{
@@ -1209,7 +1209,7 @@ public ReadOnlyCollection GetStackedObservations()
///
/// See [Agents - Actions] for more information on masking actions.
///
- /// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_18_docs/docs/Learning-Environment-Design-Agents.md#actions
+ /// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_19_docs/docs/Learning-Environment-Design-Agents.md#actions
///
///
public virtual void WriteDiscreteActionMask(IDiscreteActionMask actionMask) { }
@@ -1275,7 +1275,7 @@ public virtual void WriteDiscreteActionMask(IDiscreteActionMask actionMask) { }
///
/// For more information about implementing agent actions see [Agents - Actions].
///
- /// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_18_docs/docs/Learning-Environment-Design-Agents.md#actions
+ /// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_19_docs/docs/Learning-Environment-Design-Agents.md#actions
///
///
/// Struct containing the buffers of actions to be executed at this step.
diff --git a/com.unity.ml-agents/Runtime/Demonstrations/DemonstrationRecorder.cs b/com.unity.ml-agents/Runtime/Demonstrations/DemonstrationRecorder.cs
index 87d02b3fca..b6daeace32 100644
--- a/com.unity.ml-agents/Runtime/Demonstrations/DemonstrationRecorder.cs
+++ b/com.unity.ml-agents/Runtime/Demonstrations/DemonstrationRecorder.cs
@@ -19,7 +19,7 @@ namespace Unity.MLAgents.Demonstrations
/// See [Imitation Learning - Recording Demonstrations] for more information.
///
/// [GameObject]: https://docs.unity3d.com/Manual/GameObjects.html
- /// [Imitation Learning - Recording Demonstrations]: https://github.com/Unity-Technologies/ml-agents/blob/release_18_docs/docs//Learning-Environment-Design-Agents.md#recording-demonstrations
+ /// [Imitation Learning - Recording Demonstrations]: https://github.com/Unity-Technologies/ml-agents/blob/release_19_docs/docs//Learning-Environment-Design-Agents.md#recording-demonstrations
///
[RequireComponent(typeof(Agent))]
[AddComponentMenu("ML Agents/Demonstration Recorder", (int)MenuGroup.Default)]
diff --git a/com.unity.ml-agents/package.json b/com.unity.ml-agents/package.json
index fb3b4d2e98..ebce6f801c 100755
--- a/com.unity.ml-agents/package.json
+++ b/com.unity.ml-agents/package.json
@@ -1,7 +1,7 @@
{
"name": "com.unity.ml-agents",
"displayName": "ML Agents",
- "version": "2.1.0-exp.1",
+ "version": "2.2.0",
"unity": "2019.4",
"description": "Use state-of-the-art machine learning to create intelligent character behaviors in any Unity environment (games, robotics, film, etc.).",
"dependencies": {
diff --git a/docs/Installation-Anaconda-Windows.md b/docs/Installation-Anaconda-Windows.md
index 5f7468b7fa..3287a3d374 100644
--- a/docs/Installation-Anaconda-Windows.md
+++ b/docs/Installation-Anaconda-Windows.md
@@ -123,10 +123,10 @@ commands in an Anaconda Prompt _(if you open a new prompt, be sure to activate
the ml-agents Conda environment by typing `activate ml-agents`)_:
```sh
-git clone --branch release_18 https://github.com/Unity-Technologies/ml-agents.git
+git clone --branch release_19 https://github.com/Unity-Technologies/ml-agents.git
```
-The `--branch release_18` option will switch to the tag of the latest stable
+The `--branch release_19` option will switch to the tag of the latest stable
release. Omitting that will get the `main` branch which is potentially
unstable.
@@ -151,7 +151,7 @@ config files in this directory when running `mlagents-learn`. Make sure you are
connected to the Internet and then type in the Anaconda Prompt:
```console
-python -m pip install mlagents==0.27.0
+python -m pip install mlagents==0.28.0
```
This will complete the installation of all the required Python packages to run
@@ -162,7 +162,7 @@ pip will get stuck when trying to read the cache of the package. If you see
this, you can try:
```console
-python -m pip install mlagents==0.27.0 --no-cache-dir
+python -m pip install mlagents==0.28.0 --no-cache-dir
```
This `--no-cache-dir` tells the pip to disable the cache.
diff --git a/docs/Installation.md b/docs/Installation.md
index f293cccab1..070807ebd5 100644
--- a/docs/Installation.md
+++ b/docs/Installation.md
@@ -64,17 +64,17 @@ of our tutorials / guides assume you have access to our example environments).
the repository if you would like to explore more examples.
```sh
-git clone --branch release_18 https://github.com/Unity-Technologies/ml-agents.git
+git clone --branch release_19 https://github.com/Unity-Technologies/ml-agents.git
```
-The `--branch release_18` option will switch to the tag of the latest stable
+The `--branch release_19` option will switch to the tag of the latest stable
release. Omitting that will get the `main` branch which is potentially unstable.
#### Advanced: Local Installation for Development
You will need to clone the repository if you plan to modify or extend the
ML-Agents Toolkit for your purposes. If you plan to contribute those changes
-back, make sure to clone the `main` branch (by omitting `--branch release_18`
+back, make sure to clone the `main` branch (by omitting `--branch release_19`
from the command above). See our
[Contributions Guidelines](../com.unity.ml-agents/CONTRIBUTING.md) for more
information on contributing to the ML-Agents Toolkit.
@@ -155,7 +155,7 @@ To install the `mlagents` Python package, activate your virtual environment and
run from the command line:
```sh
-python -m pip install mlagents==0.27.0
+python -m pip install mlagents==0.28.0
```
Note that this will install `mlagents` from PyPi, _not_ from the cloned
diff --git a/docs/Learning-Environment-Design-Agents.md b/docs/Learning-Environment-Design-Agents.md
index 8953894957..51f3cbbae2 100644
--- a/docs/Learning-Environment-Design-Agents.md
+++ b/docs/Learning-Environment-Design-Agents.md
@@ -567,7 +567,7 @@ To allow more variety of observations that grid sensor can capture, the
`GridSensorComponent` and the underlying `GridSensorBase` also provides interfaces
that can be overridden to collect customized observation from detected objects.
See the doc on
-[extending grid Sensors](https://github.com/Unity-Technologies/ml-agents/blob/release_18_docs/com.unity.ml-agents.extensions/Documentation~/CustomGridSensors.md)
+[extending grid Sensors](https://github.com/Unity-Technologies/ml-agents/blob/release_19_docs/com.unity.ml-agents.extensions/Documentation~/CustomGridSensors.md)
for more details on custom grid sensors.
__Note__: The `GridSensor` only works in 3D environments and will not behave
diff --git a/docs/Migrating.md b/docs/Migrating.md
index 9f256810fa..882d01e03b 100644
--- a/docs/Migrating.md
+++ b/docs/Migrating.md
@@ -200,7 +200,7 @@ folder
- The Parameter Randomization feature has been merged with the Curriculum feature. It is now possible to specify a sampler
in the lesson of a Curriculum. Curriculum has been refactored and is now specified at the level of the parameter, not the
behavior. More information
-[here](https://github.com/Unity-Technologies/ml-agents/blob/release_18_docs/docs/Training-ML-Agents.md).(#4160)
+[here](https://github.com/Unity-Technologies/ml-agents/blob/release_19_docs/docs/Training-ML-Agents.md).(#4160)
### Steps to Migrate
- The configuration format for curriculum and parameter randomization has changed. To upgrade your configuration files,
diff --git a/docs/Readme.md b/docs/Readme.md
index b39e0b2202..1c38720549 100644
--- a/docs/Readme.md
+++ b/docs/Readme.md
@@ -37,9 +37,9 @@
## Python Tutorial with Google Colab
-- [Using a UnityEnvironment](https://colab.research.google.com/github/Unity-Technologies/ml-agents/blob/release_18_docs/colab/Colab_UnityEnvironment_1_Run.ipynb)
-- [Q-Learning with a UnityEnvironment](https://colab.research.google.com/github/Unity-Technologies/ml-agents/blob/release_18_docs/colab/Colab_UnityEnvironment_2_Train.ipynb)
-- [Using Side Channels on a UnityEnvironment](https://colab.research.google.com/github/Unity-Technologies/ml-agents/blob/release_18_docs/colab/Colab_UnityEnvironment_3_SideChannel.ipynb)
+- [Using a UnityEnvironment](https://colab.research.google.com/github/Unity-Technologies/ml-agents/blob/release_19_docs/colab/Colab_UnityEnvironment_1_Run.ipynb)
+- [Q-Learning with a UnityEnvironment](https://colab.research.google.com/github/Unity-Technologies/ml-agents/blob/release_19_docs/colab/Colab_UnityEnvironment_2_Train.ipynb)
+- [Using Side Channels on a UnityEnvironment](https://colab.research.google.com/github/Unity-Technologies/ml-agents/blob/release_19_docs/colab/Colab_UnityEnvironment_3_SideChannel.ipynb)
## Help
diff --git a/docs/Training-on-Amazon-Web-Service.md b/docs/Training-on-Amazon-Web-Service.md
index fc1c280a3a..0d7e0fe30e 100644
--- a/docs/Training-on-Amazon-Web-Service.md
+++ b/docs/Training-on-Amazon-Web-Service.md
@@ -69,7 +69,7 @@ After launching your EC2 instance using the ami and ssh into it:
2. Clone the ML-Agents repo and install the required Python packages
```sh
- git clone --branch release_18 https://github.com/Unity-Technologies/ml-agents.git
+ git clone --branch release_19 https://github.com/Unity-Technologies/ml-agents.git
cd ml-agents/ml-agents/
pip3 install -e .
```
diff --git a/docs/Training-on-Microsoft-Azure.md b/docs/Training-on-Microsoft-Azure.md
index acfd77e1ba..768797f6f7 100644
--- a/docs/Training-on-Microsoft-Azure.md
+++ b/docs/Training-on-Microsoft-Azure.md
@@ -33,7 +33,7 @@ view the documentation for doing so [here](#custom-instances).
instance, and set it as the working directory.
2. Install the required packages:
Torch: `pip3 install torch==1.7.0 -f https://download.pytorch.org/whl/torch_stable.html` and
- MLAgents: `python -m pip install mlagents==0.27.0`
+ MLAgents: `python -m pip install mlagents==0.28.0`
## Testing
diff --git a/docs/Unity-Inference-Engine.md b/docs/Unity-Inference-Engine.md
index 37e34fdbd0..49385c2dcf 100644
--- a/docs/Unity-Inference-Engine.md
+++ b/docs/Unity-Inference-Engine.md
@@ -35,9 +35,9 @@ The ML-Agents Toolkit only supports the models created with our trainers. Model
loading expects certain conventions for constants and tensor names. While it is
possible to construct a model that follows these conventions, we don't provide
any additional help for this. More details can be found in
-[TensorNames.cs](https://github.com/Unity-Technologies/ml-agents/blob/release_18_docs/com.unity.ml-agents/Runtime/Inference/TensorNames.cs)
+[TensorNames.cs](https://github.com/Unity-Technologies/ml-agents/blob/release_19_docs/com.unity.ml-agents/Runtime/Inference/TensorNames.cs)
and
-[BarracudaModelParamLoader.cs](https://github.com/Unity-Technologies/ml-agents/blob/release_18_docs/com.unity.ml-agents/Runtime/Inference/BarracudaModelParamLoader.cs).
+[BarracudaModelParamLoader.cs](https://github.com/Unity-Technologies/ml-agents/blob/release_19_docs/com.unity.ml-agents/Runtime/Inference/BarracudaModelParamLoader.cs).
If you wish to run inference on an externally trained model, you should use
Barracuda directly, instead of trying to run it through ML-Agents.
diff --git a/gym-unity/gym_unity/__init__.py b/gym-unity/gym_unity/__init__.py
index 7902085efe..36f889ba37 100644
--- a/gym-unity/gym_unity/__init__.py
+++ b/gym-unity/gym_unity/__init__.py
@@ -1,5 +1,5 @@
# Version of the library that will be used to upload to pypi
-__version__ = "0.28.0.dev0"
+__version__ = "0.28.0"
# Git tag that will be checked to determine whether to trigger upload to pypi
-__release_tag__ = None
+__release_tag__ = "release_19"
diff --git a/ml-agents-envs/README.md b/ml-agents-envs/README.md
index 3e6e5a0544..c33d1854ef 100644
--- a/ml-agents-envs/README.md
+++ b/ml-agents-envs/README.md
@@ -13,7 +13,7 @@ communication.
Install the `mlagents_envs` package with:
```sh
-python -m pip install mlagents_envs==0.27.0
+python -m pip install mlagents_envs==0.28.0
```
## Usage & More Information
diff --git a/ml-agents-envs/mlagents_envs/__init__.py b/ml-agents-envs/mlagents_envs/__init__.py
index 7902085efe..36f889ba37 100644
--- a/ml-agents-envs/mlagents_envs/__init__.py
+++ b/ml-agents-envs/mlagents_envs/__init__.py
@@ -1,5 +1,5 @@
# Version of the library that will be used to upload to pypi
-__version__ = "0.28.0.dev0"
+__version__ = "0.28.0"
# Git tag that will be checked to determine whether to trigger upload to pypi
-__release_tag__ = None
+__release_tag__ = "release_19"
diff --git a/ml-agents/README.md b/ml-agents/README.md
index c8b82c0e5a..17d04e22ed 100644
--- a/ml-agents/README.md
+++ b/ml-agents/README.md
@@ -16,7 +16,7 @@ package.
Install the `mlagents` package with:
```sh
-python -m pip install mlagents==0.27.0
+python -m pip install mlagents==0.28.0
```
## Usage & More Information
diff --git a/ml-agents/mlagents/trainers/__init__.py b/ml-agents/mlagents/trainers/__init__.py
index 7902085efe..36f889ba37 100644
--- a/ml-agents/mlagents/trainers/__init__.py
+++ b/ml-agents/mlagents/trainers/__init__.py
@@ -1,5 +1,5 @@
# Version of the library that will be used to upload to pypi
-__version__ = "0.28.0.dev0"
+__version__ = "0.28.0"
# Git tag that will be checked to determine whether to trigger upload to pypi
-__release_tag__ = None
+__release_tag__ = "release_19"
diff --git a/ml-agents/setup.py b/ml-agents/setup.py
index 4e33700d28..b88641b13d 100644
--- a/ml-agents/setup.py
+++ b/ml-agents/setup.py
@@ -65,7 +65,7 @@ def run(self):
"protobuf>=3.6",
"pyyaml>=3.1.0",
# Windows ver. of PyTorch doesn't work from PyPi. Installation:
- # https://github.com/Unity-Technologies/ml-agents/blob/release_18_docs/docs/Installation.md#windows-installing-pytorch
+ # https://github.com/Unity-Technologies/ml-agents/blob/release_19_docs/docs/Installation.md#windows-installing-pytorch
# Torch only working on python 3.9 for 1.8.0 and above. Details see:
# https://github.com/pytorch/pytorch/issues/50014
"torch>=1.8.0,<1.9.0;(platform_system!='Windows' and python_version>='3.9')",
diff --git a/utils/validate_versions.py b/utils/validate_versions.py
index ef4aa245ff..eab8a54fa6 100755
--- a/utils/validate_versions.py
+++ b/utils/validate_versions.py
@@ -85,7 +85,9 @@ def set_version(
f.write(new_contents)
if csharp_version is not None:
- package_version = f"{csharp_version}-exp.1"
+ # removed exp.1 tag from version strings since MLA package is a full package now
+ # package_version = f"{csharp_version}-exp.1"
+ package_version = f"{csharp_version}"
if csharp_extensions_version is not None:
# since this has never been promoted we need to keep
# it in preview forever or CI will fail