Release 20 changelog (#80)

* clean changelog
* match extention package dependency
* fix typos

Author: maryamhonari

com.unity.ml-agents.extensions/package.json

@@ -5,7 +5,7 @@
   "unity": "2021.3",
   "description": "A source-only package for new features based on ML-Agents",
   "dependencies": {
-    "com.unity.ml-agents": "2.2.1-exp.1",
+    "com.unity.ml-agents": "2.3.0-exp.3",
     "com.unity.modules.physics": "1.0.0"
   }
 }

com.unity.ml-agents/CHANGELOG.md

@@ -6,15 +6,21 @@ The format is based on [Keep a Changelog](http://keepachangelog.com/en/1.0.0/)
 and this project adheres to
 [Semantic Versioning](http://semver.org/spec/v2.0.0.html).
 
-## [Unreleased]
+## [2.3.0-exp.3] - 2022-11-21
 ### Major Changes
 #### com.unity.ml-agents / com.unity.ml-agents.extensions (C#)
 - The minimum supported Unity version was updated to 2021.3. (#)
 
 #### ml-agents / ml-agents-envs
-- renaming the path that shadows torch with "mlagents/trainers/torch_entities" and update respective imports (#27)
-- The minimum supported Python version for ml-agents was changed to 3.8.13. (#5)
+- Add your trainers to the package using Ml-Agents Custom Trainers plugin. (#)
+  - ML-Agents Custom Trainers plugin is an extensible plugin system to define new trainers based on the
+  High level trainer API, read more [here](../docs/Python-Custom-Trainer-Plugin.md).
+- Refactored core modules to make ML-Agents internal classes more generalizable to various RL algorithms. (#)
+- The minimum supported Python version for ML-agents has changed to 3.8.13. (#)
 - The minimum supported version of PyTorch was changed to 1.8.0. (#)
+- Add shared critic configurability for PPO. (#)
+- We moved `UnityToGymWrapper` and `PettingZoo` API to `ml-agents-envs` package. All these environments will be
+versioned under `ml-agents-envs` package in the future (#)
 
 ### Minor Changes
 #### com.unity.ml-agents / com.unity.ml-agents.extensions (C#)
@@ -23,6 +29,7 @@ and this project adheres to
 - Added suppport for enabling/disabling camera object attached to camera sensor in order to improve performance. (#31)
 
 #### ml-agents / ml-agents-envs
+- Renaming the path that shadows torch with "mlagents/trainers/torch_entities" and update respective imports (#)
 
 
 ### Bug Fixes
@@ -35,13 +42,13 @@ and this project adheres to
 #### com.unity.ml-agents / com.unity.ml-agents.extensions (C#)
 #### ml-agents / ml-agents-envs
 - Refactored to support the new ML-Agents Pro package.
-- The minimum supported Python version for ml-agents-envs was changed to 3.7.2 (#5)
-- Added support for the PettingZoo multi-agent API (#6)
-- Refactored `gym-unity` into the `ml-agents-envs` package (#6)
+- The minimum supported Python version for ML-Agents-envs is changed to 3.7.2 (#)
+- Added support for the PettingZoo multi-agent API (#)
+- Refactored `gym-unity` into the `ml-agents-envs` package (#)
 
 ### Minor Changes
 #### com.unity.ml-agents / com.unity.ml-agents.extensions (C#)
-- Upgrade barracuda dependency to 3.0.0 (#9)
+- Upgrade barracuda dependency to 3.0.0 (#)
 #### ml-agents / ml-agents-envs
 - Added the new unity_vec_env file to the ml-agents-envs module
 - Extended support to python 3.9.10

com.unity.ml-agents/Runtime/Academy.cs

@@ -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.
         /// </summary>
-        internal const string k_PackageVersion = "2.3.0-exp.2";
+        internal const string k_PackageVersion = "2.3.0-exp.3";
 
         const int k_EditorTrainingPort = 5004;
 
@@ -218,7 +218,7 @@ public int InferenceSeed
         /// Signals to all of the <see cref="Agent"/>s that their step is about to begin.
         /// This is a good time for an <see cref="Agent"/> to decide if it would like to
         /// call <see cref="Agent.RequestDecision"/> or <see cref="Agent.RequestAction"/>
-        /// for this step.  Any other pre-step setup could be done during this even as well.
+        /// for this step.  Any other pre-step setup could be done during this event as well.
         /// </summary>
         public event Action<int> AgentPreStep;
 

com.unity.ml-agents/package.json

@@ -1,7 +1,7 @@
 {
   "name": "com.unity.ml-agents",
   "displayName": "ML Agents",
-  "version": "2.3.0-exp.2",
+  "version": "2.3.0-exp.3",
   "unity": "2021.3",
   "description": "Use state-of-the-art machine learning to create intelligent character behaviors in any Unity environment (games, robotics, film, etc.).",
   "dependencies": {

ml-agents-envs/mlagents_envs/__init__.py

@@ -1,5 +1,5 @@
 # Version of the library that will be used to upload to pypi
-__version__ = "0.29.0"
+__version__ = "0.30.0"
 
 # Git tag that will be checked to determine whether to trigger upload to pypi
 __release_tag__ = None

ml-agents/mlagents/trainers/__init__.py

@@ -1,5 +1,5 @@
 # Version of the library that will be used to upload to pypi
-__version__ = "0.29.0"
+__version__ = "0.30.0"
 
 # Git tag that will be checked to determine whether to trigger upload to pypi
 __release_tag__ = None