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Ruo-Ping (Rachel) Dong
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[Release 8] update versions on release branch (#4550)
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README.md

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# Unity ML-Agents Toolkit
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[![docs badge](https://img.shields.io/badge/docs-reference-blue.svg)](https://github.com/Unity-Technologies/ml-agents/tree/release_7_docs/docs/)
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[![docs badge](https://img.shields.io/badge/docs-reference-blue.svg)](https://github.com/Unity-Technologies/ml-agents/tree/release_8_docs/docs/)
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[![license badge](https://img.shields.io/badge/license-Apache--2.0-green.svg)](LICENSE)
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## Releases & Documentation
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**Our latest, stable release is `Release 7`. Click
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[here](https://github.com/Unity-Technologies/ml-agents/tree/release_7_docs/docs/Readme.md)
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[here](https://github.com/Unity-Technologies/ml-agents/tree/release_8_docs/docs/Readme.md)
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to get started with the latest release of ML-Agents.**
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The table below lists all our releases, including our `master` branch which is

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

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"unity": "2018.4",
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"description": "A source-only package for new features based on ML-Agents",
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"dependencies": {
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"com.unity.ml-agents": "1.4.0-preview"
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"com.unity.ml-agents": "1.5.0-preview"
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}
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}

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

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[unity ML-Agents Toolkit]: https://github.com/Unity-Technologies/ml-agents
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[unity inference engine]: https://docs.unity3d.com/Packages/com.unity.barracuda@latest/index.html
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[package manager documentation]: https://docs.unity3d.com/Manual/upm-ui-install.html
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[installation instructions]: https://github.com/Unity-Technologies/ml-agents/blob/release_7_docs/docs/Installation.md
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[installation instructions]: https://github.com/Unity-Technologies/ml-agents/blob/release_8_docs/docs/Installation.md
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[github repository]: https://github.com/Unity-Technologies/ml-agents
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[python package]: https://github.com/Unity-Technologies/ml-agents
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[execution order of event functions]: https://docs.unity3d.com/Manual/ExecutionOrder.html

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

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* API. For more information on each of these entities, in addition to how to
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* set-up a learning environment and train the behavior of characters in a
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* Unity scene, please browse our documentation pages on GitHub:
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* https://github.com/Unity-Technologies/ml-agents/tree/release_7_docs/docs/
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* https://github.com/Unity-Technologies/ml-agents/tree/release_8_docs/docs/
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*/
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namespace Unity.MLAgents
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/// fall back to inference or heuristic decisions. (You can also set agents to always use
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/// inference or heuristics.)
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/// </remarks>
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[HelpURL("https://github.com/Unity-Technologies/ml-agents/tree/release_7_docs/" +
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[HelpURL("https://github.com/Unity-Technologies/ml-agents/tree/release_8_docs/" +
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"docs/Learning-Environment-Design.md")]
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public class Academy : IDisposable
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{
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/// Unity package version of com.unity.ml-agents.
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/// This must match the version string in package.json and is checked in a unit test.
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/// </summary>
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internal const string k_PackageVersion = "1.4.0-preview";
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internal const string k_PackageVersion = "1.5.0-preview";
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const int k_EditorTrainingPort = 5004;
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com.unity.ml-agents/Runtime/Actuators/IActionReceiver.cs

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///
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/// See [Agents - Actions] for more information on masking actions.
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///
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/// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_7_docs/docs/Learning-Environment-Design-Agents.md#actions
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/// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_8_docs/docs/Learning-Environment-Design-Agents.md#actions
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/// </remarks>
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/// <seealso cref="IActionReceiver.OnActionReceived"/>
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void WriteDiscreteActionMask(IDiscreteActionMask actionMask);

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

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///
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/// See [Agents - Actions] for more information on masking actions.
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///
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/// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_7_docs/docs/Learning-Environment-Design-Agents.md#actions
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/// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_8_docs/docs/Learning-Environment-Design-Agents.md#actions
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/// </remarks>
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/// <param name="branch">The branch for which the actions will be masked.</param>
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/// <param name="actionIndices">The indices of the masked actions.</param>

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

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/// [OnDisable()]: https://docs.unity3d.com/ScriptReference/MonoBehaviour.OnDisable.html]
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/// [OnBeforeSerialize()]: https://docs.unity3d.com/ScriptReference/MonoBehaviour.OnBeforeSerialize.html
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/// [OnAfterSerialize()]: https://docs.unity3d.com/ScriptReference/MonoBehaviour.OnAfterSerialize.html
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/// [Agents]: https://github.com/Unity-Technologies/ml-agents/blob/release_7_docs/docs/Learning-Environment-Design-Agents.md
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/// [Reinforcement Learning in Unity]: https://github.com/Unity-Technologies/ml-agents/blob/release_7_docs/docs/Learning-Environment-Design.md
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/// [Agents]: https://github.com/Unity-Technologies/ml-agents/blob/release_8_docs/docs/Learning-Environment-Design-Agents.md
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/// [Reinforcement Learning in Unity]: https://github.com/Unity-Technologies/ml-agents/blob/release_8_docs/docs/Learning-Environment-Design.md
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/// [Unity ML-Agents Toolkit]: https://github.com/Unity-Technologies/ml-agents
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/// [Unity ML-Agents Toolkit manual]: https://github.com/Unity-Technologies/ml-agents/blob/release_7_docs/docs/Readme.md
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/// [Unity ML-Agents Toolkit manual]: https://github.com/Unity-Technologies/ml-agents/blob/release_8_docs/docs/Readme.md
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///
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/// </remarks>
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[HelpURL("https://github.com/Unity-Technologies/ml-agents/blob/release_7_docs/" +
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[HelpURL("https://github.com/Unity-Technologies/ml-agents/blob/release_8_docs/" +
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"docs/Learning-Environment-Design-Agents.md")]
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[Serializable]
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[RequireComponent(typeof(BehaviorParameters))]
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/// for information about mixing reward signals from curiosity and Generative Adversarial
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/// Imitation Learning (GAIL) with rewards supplied through this method.
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///
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/// [Agents - Rewards]: https://github.com/Unity-Technologies/ml-agents/blob/release_7_docs/docs/Learning-Environment-Design-Agents.md#rewards
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/// [Reward Signals]: https://github.com/Unity-Technologies/ml-agents/blob/release_7_docs/docs/ML-Agents-Overview.md#a-quick-note-on-reward-signals
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/// [Agents - Rewards]: https://github.com/Unity-Technologies/ml-agents/blob/release_8_docs/docs/Learning-Environment-Design-Agents.md#rewards
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/// [Reward Signals]: https://github.com/Unity-Technologies/ml-agents/blob/release_8_docs/docs/ML-Agents-Overview.md#a-quick-note-on-reward-signals
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/// </remarks>
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/// <param name="reward">The new value of the reward.</param>
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public void SetReward(float reward)
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/// Imitation Learning (GAIL) with rewards supplied through this method.
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/// [Agents - Rewards]: https://github.com/Unity-Technologies/ml-agents/blob/release_7_docs/docs/Learning-Environment-Design-Agents.md#rewards
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/// [Reward Signals]: https://github.com/Unity-Technologies/ml-agents/blob/release_7_docs/docs/ML-Agents-Overview.md#a-quick-note-on-reward-signals
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/// [Agents - Rewards]: https://github.com/Unity-Technologies/ml-agents/blob/release_8_docs/docs/Learning-Environment-Design-Agents.md#rewards
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/// [Reward Signals]: https://github.com/Unity-Technologies/ml-agents/blob/release_8_docs/docs/ML-Agents-Overview.md#a-quick-note-on-reward-signals
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///</remarks>
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/// <param name="increment">Incremental reward value.</param>
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public void AddReward(float increment)
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/// implementing a simple heuristic function can aid in debugging agent actions and interactions
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/// with its environment.
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///
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/// [Demonstration Recorder]: https://github.com/Unity-Technologies/ml-agents/blob/release_7_docs/docs/Learning-Environment-Design-Agents.md#recording-demonstrations
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/// [Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_7_docs/docs/Learning-Environment-Design-Agents.md#actions
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/// [Demonstration Recorder]: https://github.com/Unity-Technologies/ml-agents/blob/release_8_docs/docs/Learning-Environment-Design-Agents.md#recording-demonstrations
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/// [Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_8_docs/docs/Learning-Environment-Design-Agents.md#actions
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/// [GameObject]: https://docs.unity3d.com/Manual/GameObjects.html
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/// </remarks>
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/// <example>
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///
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/// [GameObject]: https://docs.unity3d.com/Manual/GameObjects.html
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/// [Observations and Sensors]: https://github.com/Unity-Technologies/ml-agents/blob/release_7_docs/docs/Learning-Environment-Design-Agents.md#observations-and-sensors
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/// [Observations and Sensors]: https://github.com/Unity-Technologies/ml-agents/blob/release_8_docs/docs/Learning-Environment-Design-Agents.md#observations-and-sensors
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public virtual void CollectObservations(VectorSensor sensor)
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{
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///
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/// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_7_docs/docs/Learning-Environment-Design-Agents.md#actions
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/// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_8_docs/docs/Learning-Environment-Design-Agents.md#actions
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/// </remarks>
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/// <seealso cref="IActionReceiver.OnActionReceived"/>
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public virtual void WriteDiscreteActionMask(IDiscreteActionMask actionMask)
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/// For more information about implementing agent actions see [Agents - Actions].
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///
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/// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_7_docs/docs/Learning-Environment-Design-Agents.md#actions
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/// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_8_docs/docs/Learning-Environment-Design-Agents.md#actions
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/// </remarks>
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/// <param name="actions">
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com.unity.ml-agents/Runtime/Demonstrations/DemonstrationRecorder.cs

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///
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/// [GameObject]: https://docs.unity3d.com/Manual/GameObjects.html
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/// [Imitation Learning - Recording Demonstrations]: https://github.com/Unity-Technologies/ml-agents/blob/release_7_docs/docs//Learning-Environment-Design-Agents.md#recording-demonstrations
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/// [Imitation Learning - Recording Demonstrations]: https://github.com/Unity-Technologies/ml-agents/blob/release_8_docs/docs//Learning-Environment-Design-Agents.md#recording-demonstrations
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/// </remarks>
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com.unity.ml-agents/Runtime/DiscreteActionMasker.cs

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///
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///
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/// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_7_docs/docs/Learning-Environment-Design-Agents.md#actions
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/// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_8_docs/docs/Learning-Environment-Design-Agents.md#actions
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/// </remarks>
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/// <param name="branch">The branch for which the actions will be masked.</param>
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/// <param name="actionIndices">The indices of the masked actions.</param>

com.unity.ml-agents/package.json

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{
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"name": "com.unity.ml-agents",
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"displayName": "ML Agents",
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"version": "1.4.0-preview",
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"version": "1.5.0-preview",
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"unity": "2018.4",
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"description": "Use state-of-the-art machine learning to create intelligent character behaviors in any Unity environment (games, robotics, film, etc.).",
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"dependencies": {

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