@@ -148,13 +148,13 @@ public void CopyActions(ActionBuffers actionBuffers)
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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_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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+ /// [Agents]: https://github.com/Unity-Technologies/ml-agents/blob/release_9_docs /docs/Learning-Environment-Design-Agents.md
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+ /// [Reinforcement Learning in Unity]: https://github.com/Unity-Technologies/ml-agents/blob/release_9_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_8_docs /docs/Readme.md
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+ /// [Unity ML-Agents Toolkit manual]: https://github.com/Unity-Technologies/ml-agents/blob/release_9_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_8_docs /" +
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+ [ HelpURL ( "https://github.com/Unity-Technologies/ml-agents/blob/release_9_docs /" +
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"docs/Learning-Environment-Design-Agents.md" ) ]
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[ Serializable ]
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[ RequireComponent ( typeof ( BehaviorParameters ) ) ]
@@ -630,8 +630,8 @@ public int CompletedEpisodes
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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_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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+ /// [Agents - Rewards]: https://github.com/Unity-Technologies/ml-agents/blob/release_9_docs /docs/Learning-Environment-Design-Agents.md#rewards
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+ /// [Reward Signals]: https://github.com/Unity-Technologies/ml-agents/blob/release_9_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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/// 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_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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+ /// [Agents - Rewards]: https://github.com/Unity-Technologies/ml-agents/blob/release_9_docs /docs/Learning-Environment-Design-Agents.md#rewards
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+ /// [Reward Signals]: https://github.com/Unity-Technologies/ml-agents/blob/release_9_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 )
@@ -839,8 +839,8 @@ public virtual void Initialize() { }
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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_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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+ /// [Demonstration Recorder]: https://github.com/Unity-Technologies/ml-agents/blob/release_9_docs /docs/Learning-Environment-Design-Agents.md#recording-demonstrations
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+ /// [Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_9_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>
@@ -1087,7 +1087,7 @@ void ResetSensors()
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/// For more information about observations, see [Observations and Sensors].
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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_8_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_9_docs /docs/Learning-Environment-Design-Agents.md#observations-and-sensors
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/// </remarks>
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public virtual void CollectObservations ( VectorSensor sensor )
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{
@@ -1118,7 +1118,7 @@ public ReadOnlyCollection<float> GetObservations()
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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_8_docs /docs/Learning-Environment-Design-Agents.md#actions
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+ /// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_9_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 )
@@ -1193,7 +1193,7 @@ public virtual void WriteDiscreteActionMask(IDiscreteActionMask actionMask)
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///
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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_8_docs /docs/Learning-Environment-Design-Agents.md#actions
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+ /// [Agents - Actions]: https://github.com/Unity-Technologies/ml-agents/blob/release_9_docs /docs/Learning-Environment-Design-Agents.md#actions
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/// </remarks>
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/// <param name="actions">
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/// Struct containing the buffers of actions to be executed at this step.
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