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Changelog cleanup. #5627

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Dec 2, 2021
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Changelog cleanup. #5627

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f21b4b6
Release cleanup for changelog
miguelalonsojr Dec 2, 2021
03d0897
Update CHANGELOG.md
maryamhonari Dec 2, 2021
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16 changes: 7 additions & 9 deletions com.unity.ml-agents/CHANGELOG.md
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Expand Up @@ -11,7 +11,7 @@ and this project adheres to

#### com.unity.ml-agents / com.unity.ml-agents.extensions (C#)
- Added a new feature to replicate training areas dynamically during runtime. (#5568)
- Update Barracuda to 2.3.1-preview
- Update Barracuda to 2.3.1-preview (#5591)

#### ml-agents / ml-agents-envs / gym-unity (Python)

Expand All @@ -20,36 +20,34 @@ and this project adheres to
#### com.unity.ml-agents / com.unity.ml-agents.extensions (C#)
- Added the capacity to initialize behaviors from any checkpoint and not just the latest one (#5525)
- Added the ability to get a read-only view of the stacked observations (#5523)

#### ml-agents / ml-agents-envs / gym-unity (Python)
- Set gym version in gym-unity to gym release 0.20.0
- Set gym version in gym-unity to gym release 0.20.0 (#5540)
- Added support for having `beta`, `epsilon`, and `learning rate` on separate schedules (affects only PPO and POCA). (#5538)

- Changed default behavior to restart crashed Unity environments rather than exiting. (#5553)
- Rate & lifetime limits on this are configurable via 3 new yaml options
1. env_params.max_lifetime_restarts (--max-lifetime-restarts) [default=10]
2. env_params.restarts_rate_limit_n (--restarts-rate-limit-n) [default=1]
3. env_params.restarts_rate_limit_period_s (--restarts-rate-limit-period-s) [default=60]


- Deterministic action selection is now supported during training and inference(#5619)
- Added a new `--deterministic` cli flag to deterministically select the most probable actions in policy. The same thing can
be achieved by adding `deterministic: true` under `network_settings` of the run options configuration.(#5597)
- Extra tensors are now serialized to support deterministic action selection in onnx. (#5593)
- Support inference with deterministic action selection in editor (#5599)
### Bug Fixes
- Fixed a bug where the critics were not being normalized during training. (#5595)
- Fixed the bug where curriculum learning would crash because of the incorrect run_options parsing. (#5586)
- Added minimal analytics collection to LL-API (#5511)

### Bug Fixes
#### com.unity.ml-agents / com.unity.ml-agents.extensions (C#)

#### ml-agents / ml-agents-envs / gym-unity (Python)
- Fixed a bug where the critics were not being normalized during training. (#5595)
- Fixed the bug where curriculum learning would crash because of the incorrect run_options parsing. (#5586)
- Fixed a bug in multi-agent cooperative training where agents might not receive all of the states of
terminated teammates. (#5441)
- Fixed wrong attribute name in argparser for torch device option (#5433)(#5467)
- Fixed conflicting CLI and yaml options regarding resume & initialize_from (#5495)
- Fixed failing tests for gym-unity due to gym 0.20.0 release (#5540)
- Fixed a bug in VAIL where the variational bottleneck was not properly passing gradients (#5546)
- Added minimal analytics collection to LL-API (#5511)

## [2.1.0-exp.1] - 2021-06-09
### Minor Changes
Expand Down