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|**Release 4**| July 15, 2020 |[source](https://github.com/Unity-Technologies/ml-agents/tree/release_4)|[docs](https://github.com/Unity-Technologies/ml-agents/tree/release_4_docs/docs/Readme.md)|[download](https://github.com/Unity-Technologies/ml-agents/archive/release_4.zip)|
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|**Release 3**| June 10, 2020 |[source](https://github.com/Unity-Technologies/ml-agents/tree/release_3)|[docs](https://github.com/Unity-Technologies/ml-agents/tree/release_3_docs/docs/Readme.md)|[download](https://github.com/Unity-Technologies/ml-agents/archive/release_3.zip)|
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|**Release 2**| May 20, 2020 |[source](https://github.com/Unity-Technologies/ml-agents/tree/release_2)|[docs](https://github.com/Unity-Technologies/ml-agents/tree/release_2_docs/docs/Readme.md)|[download](https://github.com/Unity-Technologies/ml-agents/archive/release_2.zip)|
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|**Release 1**| April 30, 2020 |[source](https://github.com/Unity-Technologies/ml-agents/tree/release_1)|[docs](https://github.com/Unity-Technologies/ml-agents/tree/release_1_docs/docs/Readme.md)|[download](https://github.com/Unity-Technologies/ml-agents/archive/release_1.zip)|
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|**0.15.1**| March 30, 2020 |[source](https://github.com/Unity-Technologies/ml-agents/tree/0.15.1)|[docs](https://github.com/Unity-Technologies/ml-agents/tree/0.15.1/docs/Readme.md)|[download](https://github.com/Unity-Technologies/ml-agents/archive/0.15.1.zip)|
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|**0.15.0**| March 18, 2020 |[source](https://github.com/Unity-Technologies/ml-agents/tree/0.15.0)|[docs](https://github.com/Unity-Technologies/ml-agents/tree/0.15.0/docs/Readme.md)|[download](https://github.com/Unity-Technologies/ml-agents/archive/0.15.0.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)|
Copy file name to clipboardExpand all lines: com.unity.ml-agents/CHANGELOG.md
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@@ -48,15 +48,15 @@ argument. (#4203)
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-`max_step` in the `TerminalStep` and `TerminalSteps` objects was renamed `interrupted`.
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-`beta` and `epsilon` in `PPO` are no longer decayed by default but follow the same schedule as learning rate. (#3940)
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-`get_behavior_names()` and `get_behavior_spec()` on UnityEnvironment were replaced by the `behavior_specs` property. (#3946)
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- The first version of the Unity Environment Registry (Experimental) has been released. More information [here](https://github.com/Unity-Technologies/ml-agents/blob/release_4_docs/docs/Unity-Environment-Registry.md)(#3967)
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- The first version of the Unity Environment Registry (Experimental) has been released. More information [here](https://github.com/Unity-Technologies/ml-agents/blob/release_5_docs/docs/Unity-Environment-Registry.md)(#3967)
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-`use_visual` and `allow_multiple_visual_obs` in the `UnityToGymWrapper` constructor
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were replaced by `allow_multiple_obs` which allows one or more visual observations and
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vector observations to be used simultaneously. (#3981) Thank you @shakenes !
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- Curriculum and Parameter Randomization configurations have been merged
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into the main training configuration file. Note that this means training
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configuration files are now environment-specific. (#3791)
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- The format for trainer configuration has changed, and the "default" behavior has been deprecated.
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See the [Migration Guide](https://github.com/Unity-Technologies/ml-agents/blob/release_4_docs/docs/Migrating.md) for more details. (#3936)
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See the [Migration Guide](https://github.com/Unity-Technologies/ml-agents/blob/release_5_docs/docs/Migrating.md) for more details. (#3936)
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- Training artifacts (trained models, summaries) are now found in the `results/`
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directory. (#3829)
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- When using Curriculum, the current lesson will resume if training is quit and resumed. As such,
/// [Observations and Sensors]: https://github.com/Unity-Technologies/ml-agents/blob/release_4_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_5_docs/docs/Learning-Environment-Design-Agents.md#observations-and-sensors
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