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(PPO) and [Soft Actor-Critic](docs/Training-SAC.md)
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(SAC)
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* Support for multiple environment configurations and training scenarios
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* Self-play mechanism for training agents in adversarial scenarios
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* Train memory-enhanced agents using deep reinforcement learning
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* Easily definable Curriculum Learning and Generalization scenarios
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* Built-in support for [Imitation Learning](https://github.com/Unity-Technologies/ml-agents/tree/latest_release/docs/Training-Imitation-Learning.md) through Behavioral Cloning or Generative Adversarial Imitation Learning
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* Built-in support for [Imitation Learning](docs/Training-Imitation-Learning.md) through Behavioral Cloning or Generative Adversarial Imitation Learning
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* Flexible agent control with On Demand Decision Making
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* Visualizing network outputs within the environment
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* Wrap learning environments as a gym
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* Utilizes the Unity Inference Engine
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* Train using concurrent Unity environment instances
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## Releases & Documentation
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**Our latest, stable release is 0.14.1. Click
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[here](https://github.com/Unity-Technologies/ml-agents/tree/latest_release/docs/Readme.md) to
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**Our latest, stable release is 0.15.0. Click
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[here](docs/Readme.md) to
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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 under active
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|**0.14.1** (latest stable release) | February 26, 2020 |**[source](https://github.com/Unity-Technologies/ml-agents/tree/latest_release)**|**[docs](https://github.com/Unity-Technologies/ml-agents/tree/latest_release/docs/Readme.md)**|**[download](https://github.com/Unity-Technologies/ml-agents/archive/latest_release.zip)**|
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|**0.14.1**| February 26, 2020 |[source](https://github.com/Unity-Technologies/ml-agents/tree/0.14.1)|[docs](https://github.com/Unity-Technologies/ml-agents/tree/0.14.1/docs/Readme.md)|[download](https://github.com/Unity-Technologies/ml-agents/archive/0.14.1.zip)|
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|**0.14.0**| February 13, 2020 |[source](https://github.com/Unity-Technologies/ml-agents/tree/0.14.0)|[docs](https://github.com/Unity-Technologies/ml-agents/tree/0.14.0/docs/Readme.md)|[download](https://github.com/Unity-Technologies/ml-agents/archive/0.14.0.zip)|
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|**0.13.1**| January 21, 2020 |[source](https://github.com/Unity-Technologies/ml-agents/tree/0.13.1)|[docs](https://github.com/Unity-Technologies/ml-agents/tree/0.13.1/docs/Readme.md)|[download](https://github.com/Unity-Technologies/ml-agents/archive/0.13.1.zip)|
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|**0.13.0**| January 8, 2020 |[source](https://github.com/Unity-Technologies/ml-agents/tree/0.13.0)|[docs](https://github.com/Unity-Technologies/ml-agents/tree/0.13.0/docs/Readme.md)|[download](https://github.com/Unity-Technologies/ml-agents/archive/0.13.0.zip)|
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and this project adheres to [Semantic Versioning](http://semver.org/spec/v2.0.0.html).
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## [Unreleased]
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## [0.15.0-preview] - 2020-03-18
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### Major Changes
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-`Agent.CollectObservations` now takes a VectorSensor argument. (#3352, #3389)
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- Added `Agent.CollectDiscreteActionMasks` virtual method with a `DiscreteActionMasker` argument to specify which discrete actions are unavailable to the Agent. (#3525)
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# Migrating
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## Migrating from 0.14 to latest
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## Migrating from 0.14 to 0.15
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### Important changes
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* The `Agent.CollectObservations()` virtual method now takes as input a `VectorSensor` sensor as argument. The `Agent.AddVectorObs()` methods were removed.
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