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Ervin Tvincentpierre
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Add some entries to Release 16 changelog (#5237)
* Update changelog * Update com.unity.ml-agents/CHANGELOG.md Co-authored-by: Vincent-Pierre BERGES <[email protected]> * Fix grammar Co-authored-by: Vincent-Pierre BERGES <[email protected]>
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com.unity.ml-agents/CHANGELOG.md

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#### ml-agents / ml-agents-envs / gym-unity (Python)
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- The `--resume` flag now supports resuming experiments with additional reward providers or
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loading partial models if the network architecture has changed. See
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[here](https://github.com/Unity-Technologies/ml-agents/blob/main/docs/Training-ML-Agents.md#loading-an-existing-model)
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[here](https://github.com/Unity-Technologies/ml-agents/blob/release-16_docs/docs/Training-ML-Agents.md#loading-an-existing-model)
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for more details. (#5213)
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### Bug Fixes
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#### com.unity.ml-agents (C#)
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- Fixed erroneous warnings when using the Demonstration Recorder. (#5216)
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#### ml-agents / ml-agents-envs / gym-unity (Python)
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- Fixed an issue which was causing increased variance when using LSTMs. Also fixed an issue with LSTM when used with POCA and `sequence_length` < `time_horizon`. (#5206)
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- Fixed a bug where the SAC replay buffer would not be saved out at the end of a run, even if `save_replay_buffer` was enabled. (#5205)
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- ELO now correctly resumes when loading from a checkpoint. (#5202)
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- In the Python API, fixed `validate_action` to expect the right dimensions when `set_action_single_agent` is called. (#5208)
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- In the `GymToUnityWrapper`, raise an appropriate warning if `step()` is called after an environment is done. (#5204)
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- Fixed an issue where using one of the `gym` wrappers would override user-set log levels. (#5201)
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## [1.9.0-preview] - 2021-03-17
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### Major Changes

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