Changing the versions for the release_10

README.md

@@ -2,7 +2,7 @@
 
 # Unity ML-Agents Toolkit
 
-[![docs badge](https://img.shields.io/badge/docs-reference-blue.svg)](https://github.com/Unity-Technologies/ml-agents/tree/release_9_docs/docs/)
+[![docs badge](https://img.shields.io/badge/docs-reference-blue.svg)](https://github.com/Unity-Technologies/ml-agents/tree/release_10_docs/docs/)
 
 [![license badge](https://img.shields.io/badge/license-Apache--2.0-green.svg)](LICENSE)
 
@@ -48,8 +48,8 @@ descriptions of all these features.
 
 ## Releases & Documentation
 
-**Our latest, stable release is `Release 9`. Click
-[here](https://github.com/Unity-Technologies/ml-agents/tree/release_9_docs/docs/Readme.md)
+**Our latest, stable release is `Release 10`. Click
+[here](https://github.com/Unity-Technologies/ml-agents/tree/release_10_docs/docs/Readme.md)
 to get started with the latest release of ML-Agents.**
 
 The table below lists all our releases, including our `master` branch which is

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

@@ -5,6 +5,6 @@
   "unity": "2018.4",
   "description": "A source-only package for new features based on ML-Agents",
   "dependencies": {
-    "com.unity.ml-agents": "1.5.0-preview"
+    "com.unity.ml-agents": "1.6.0-preview"
   }
 }

com.unity.ml-agents/CHANGELOG.md

@@ -7,20 +7,6 @@ and this project adheres to
 [Semantic Versioning](http://semver.org/spec/v2.0.0.html).
 
 
-## [Unreleased]
-### Major Changes
-#### com.unity.ml-agents (C#)
-#### ml-agents / ml-agents-envs / gym-unity (Python)
-
-### Minor Changes
-#### com.unity.ml-agents / com.unity.ml-agents.extensions (C#)
-#### ml-agents / ml-agents-envs / gym-unity (Python)
-
-### Bug Fixes
-#### com.unity.ml-agents (C#)
-#### ml-agents / ml-agents-envs / gym-unity (Python)
-
-
 ## [1.6.0-preview] - 2020-11-18
 ### Major Changes
 #### com.unity.ml-agents (C#)

com.unity.ml-agents/Documentation~/com.unity.ml-agents.md

@@ -114,7 +114,7 @@ a number of ways to [connect with us] including our [ML-Agents Forum].
 [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_9_docs/docs/Installation.md
+[installation instructions]: https://github.com/Unity-Technologies/ml-agents/blob/release_10_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

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_9_docs/docs/
+ * https://github.com/Unity-Technologies/ml-agents/tree/release_10_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.)
     /// </remarks>
-    [HelpURL("https://github.com/Unity-Technologies/ml-agents/tree/release_9_docs/" +
+    [HelpURL("https://github.com/Unity-Technologies/ml-agents/tree/release_10_docs/" +
         "docs/Learning-Environment-Design.md")]
     public class Academy : IDisposable
     {
@@ -95,7 +95,7 @@ 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 = "1.5.0-preview";
+        internal const string k_PackageVersion = "1.6.0-preview";
 
         const int k_EditorTrainingPort = 5004;
 

com.unity.ml-agents/Runtime/Actuators/IActionReceiver.cs

@@ -160,7 +160,7 @@ public interface IActionReceiver
         ///
         /// See [Agents - Actions] for more information on masking actions.
         ///
-        /// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_9_docs/docs/Learning-Environment-Design-Agents.md#actions
+        /// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_10_docs/docs/Learning-Environment-Design-Agents.md#actions
         /// </remarks>
         /// <seealso cref="IActionReceiver.OnActionReceived"/>
         void WriteDiscreteActionMask(IDiscreteActionMask actionMask);

com.unity.ml-agents/Runtime/Actuators/IDiscreteActionMask.cs

@@ -17,7 +17,7 @@ public interface IDiscreteActionMask
         ///
         /// See [Agents - Actions] for more information on masking actions.
         ///
-        /// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_9_docs/docs/Learning-Environment-Design-Agents.md#actions
+        /// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_10_docs/docs/Learning-Environment-Design-Agents.md#actions
         /// </remarks>
         /// <param name="branch">The branch for which the actions will be masked.</param>
         /// <param name="actionIndices">The indices of the masked actions.</param>

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

@@ -148,13 +148,13 @@ public void CopyActions(ActionBuffers actionBuffers)
     /// [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_9_docs/docs/Learning-Environment-Design-Agents.md
-    /// [Reinforcement Learning in Unity]: https://github.com/Unity-Technologies/ml-agents/blob/release_9_docs/docs/Learning-Environment-Design.md
+    /// [Agents]: https://github.com/Unity-Technologies/ml-agents/blob/release_10_docs/docs/Learning-Environment-Design-Agents.md
+    /// [Reinforcement Learning in Unity]: https://github.com/Unity-Technologies/ml-agents/blob/release_10_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_9_docs/docs/Readme.md
+    /// [Unity ML-Agents Toolkit manual]: https://github.com/Unity-Technologies/ml-agents/blob/release_10_docs/docs/Readme.md
     ///
     /// </remarks>
-    [HelpURL("https://github.com/Unity-Technologies/ml-agents/blob/release_9_docs/" +
+    [HelpURL("https://github.com/Unity-Technologies/ml-agents/blob/release_10_docs/" +
         "docs/Learning-Environment-Design-Agents.md")]
     [Serializable]
     [RequireComponent(typeof(BehaviorParameters))]
@@ -639,8 +639,8 @@ 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_9_docs/docs/Learning-Environment-Design-Agents.md#rewards
-        /// [Reward Signals]: https://github.com/Unity-Technologies/ml-agents/blob/release_9_docs/docs/ML-Agents-Overview.md#a-quick-note-on-reward-signals
+        /// [Agents - Rewards]: https://github.com/Unity-Technologies/ml-agents/blob/release_10_docs/docs/Learning-Environment-Design-Agents.md#rewards
+        /// [Reward Signals]: https://github.com/Unity-Technologies/ml-agents/blob/release_10_docs/docs/ML-Agents-Overview.md#a-quick-note-on-reward-signals
         /// </remarks>
         /// <param name="reward">The new value of the reward.</param>
         public void SetReward(float reward)
@@ -669,8 +669,8 @@ 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_9_docs/docs/Learning-Environment-Design-Agents.md#rewards
-        /// [Reward Signals]: https://github.com/Unity-Technologies/ml-agents/blob/release_9_docs/docs/ML-Agents-Overview.md#a-quick-note-on-reward-signals
+        /// [Agents - Rewards]: https://github.com/Unity-Technologies/ml-agents/blob/release_10_docs/docs/Learning-Environment-Design-Agents.md#rewards
+        /// [Reward Signals]: https://github.com/Unity-Technologies/ml-agents/blob/release_10_docs/docs/ML-Agents-Overview.md#a-quick-note-on-reward-signals
         ///</remarks>
         /// <param name="increment">Incremental reward value.</param>
         public void AddReward(float increment)
@@ -848,8 +848,8 @@ 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_9_docs/docs/Learning-Environment-Design-Agents.md#recording-demonstrations
-        /// [Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_9_docs/docs/Learning-Environment-Design-Agents.md#actions
+        /// [Demonstration Recorder]: https://github.com/Unity-Technologies/ml-agents/blob/release_10_docs/docs/Learning-Environment-Design-Agents.md#recording-demonstrations
+        /// [Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_10_docs/docs/Learning-Environment-Design-Agents.md#actions
         /// [GameObject]: https://docs.unity3d.com/Manual/GameObjects.html
         /// </remarks>
         /// <example>
@@ -1099,7 +1099,7 @@ 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_9_docs/docs/Learning-Environment-Design-Agents.md#observations-and-sensors
+        /// [Observations and Sensors]: https://github.com/Unity-Technologies/ml-agents/blob/release_10_docs/docs/Learning-Environment-Design-Agents.md#observations-and-sensors
         /// </remarks>
         public virtual void CollectObservations(VectorSensor sensor)
         {
@@ -1130,7 +1130,7 @@ public ReadOnlyCollection<float> GetObservations()
         ///
         /// See [Agents - Actions] for more information on masking actions.
         ///
-        /// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_9_docs/docs/Learning-Environment-Design-Agents.md#actions
+        /// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_10_docs/docs/Learning-Environment-Design-Agents.md#actions
         /// </remarks>
         /// <seealso cref="IActionReceiver.OnActionReceived"/>
         public virtual void WriteDiscreteActionMask(IDiscreteActionMask actionMask)
@@ -1205,7 +1205,7 @@ 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_9_docs/docs/Learning-Environment-Design-Agents.md#actions
+        /// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_10_docs/docs/Learning-Environment-Design-Agents.md#actions
         /// </remarks>
         /// <param name="actions">
         /// Struct containing the buffers of actions to be executed at this step.

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_9_docs/docs//Learning-Environment-Design-Agents.md#recording-demonstrations
+    /// [Imitation Learning - Recording Demonstrations]: https://github.com/Unity-Technologies/ml-agents/blob/release_10_docs/docs//Learning-Environment-Design-Agents.md#recording-demonstrations
     /// </remarks>
     [RequireComponent(typeof(Agent))]
     [AddComponentMenu("ML Agents/Demonstration Recorder", (int)MenuGroup.Default)]

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

@@ -33,7 +33,7 @@ internal DiscreteActionMasker(IDiscreteActionMask actionMask)
         ///
         /// See [Agents - Actions] for more information on masking actions.
         ///
-        /// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_9_docs/docs/Learning-Environment-Design-Agents.md#actions
+        /// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_10_docs/docs/Learning-Environment-Design-Agents.md#actions
         /// </remarks>
         /// <param name="branch">The branch for which the actions will be masked.</param>
         /// <param name="actionIndices">The indices of the masked actions.</param>

com.unity.ml-agents/package.json

@@ -1,7 +1,7 @@
 {
   "name": "com.unity.ml-agents",
   "displayName": "ML Agents",
-  "version": "1.5.0-preview",
+  "version": "1.6.0-preview",
   "unity": "2018.4",
   "description": "Use state-of-the-art machine learning to create intelligent character behaviors in any Unity environment (games, robotics, film, etc.).",
   "dependencies": {

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_9 https://github.com/Unity-Technologies/ml-agents.git
+git clone --branch release_10 https://github.com/Unity-Technologies/ml-agents.git
 ```
 
-The `--branch release_9` option will switch to the tag of the latest stable
+The `--branch release_10` option will switch to the tag of the latest stable
 release. Omitting that will get the `master` branch which is potentially
 unstable.
 

docs/Installation.md

@@ -53,18 +53,18 @@ example environments and training configurations to experiment with them (some
 of our tutorials / guides assume you have access to our example environments).
 
 ```sh
-git clone --branch release_9 https://github.com/Unity-Technologies/ml-agents.git
+git clone --branch release_10 https://github.com/Unity-Technologies/ml-agents.git
 ```
 
-The `--branch release_9` option will switch to the tag of the latest stable
+The `--branch release_10` option will switch to the tag of the latest stable
 release. Omitting that will get the `master` 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 `master` branch (by omitting `--branch release_9`
+back, make sure to clone the `master` branch (by omitting `--branch release_10`
 from the command above). See our
 [Contributions Guidelines](../com.unity.ml-agents/CONTRIBUTING.md) for more
 information on contributing to the ML-Agents Toolkit.

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_9 https://github.com/Unity-Technologies/ml-agents.git
+   git clone --branch release_10 https://github.com/Unity-Technologies/ml-agents.git
    cd ml-agents/ml-agents/
    pip3 install -e .
    ```

docs/Unity-Inference-Engine.md

@@ -48,9 +48,9 @@ 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_9_docs/com.unity.ml-agents/Runtime/Inference/TensorNames.cs)
+[TensorNames.cs](https://github.com/Unity-Technologies/ml-agents/blob/release_10_docs/com.unity.ml-agents/Runtime/Inference/TensorNames.cs)
 and
-[BarracudaModelParamLoader.cs](https://github.com/Unity-Technologies/ml-agents/blob/release_9_docs/com.unity.ml-agents/Runtime/Inference/BarracudaModelParamLoader.cs).
+[BarracudaModelParamLoader.cs](https://github.com/Unity-Technologies/ml-agents/blob/release_10_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.

gym-unity/gym_unity/__init__.py

@@ -1,5 +1,5 @@
 # Version of the library that will be used to upload to pypi
-__version__ = "0.22.0.dev0"
+__version__ = "0.22.0"
 
 # Git tag that will be checked to determine whether to trigger upload to pypi
-__release_tag__ = None
+__release_tag__ = "release_10"

ml-agents-envs/mlagents_envs/__init__.py

@@ -1,5 +1,5 @@
 # Version of the library that will be used to upload to pypi
-__version__ = "0.22.0.dev0"
+__version__ = "0.22.0"
 
 # Git tag that will be checked to determine whether to trigger upload to pypi
-__release_tag__ = None
+__release_tag__ = "release_10"

ml-agents/mlagents/trainers/__init__.py

@@ -1,5 +1,5 @@
 # Version of the library that will be used to upload to pypi
-__version__ = "0.22.0.dev0"
+__version__ = "0.22.0"
 
 # Git tag that will be checked to determine whether to trigger upload to pypi
-__release_tag__ = None
+__release_tag__ = "release_10"