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ML-Agents Release 22 source code.zip (116.0 MB)
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| Name | Modified | Size | Downloads / Week |
|---|---|---|---|
| Parent folder | |||
| ML-Agents Release 20.tar.gz | 2022-11-28 | 115.5 MB | |
| ML-Agents Release 20.zip | 2022-11-28 | 116.5 MB | |
| README.md | 2022-11-28 | 2.0 kB | |
| Totals: 3 Items | 232.0 MB | 0 | |
Package Versions
NOTE: It is strongly recommended that you use packages from the same release together for the best experience.
| Package | Version |
|---|---|
| com.unity.ml-agents (C#) | v2.3.0-exp.3 |
| com.unity.ml-agents.extensions (C#) | v0.6.1-preview |
| ml-agents (Python) | v0.30.0 |
| ml-agents-envs (Python) | v0.30.0 |
| gym-unity (Python) | v0.30.0 |
| Communicator (C#/Python) | v1.5.0 |
Release Notes
Major Changes
com.unity.ml-agents / com.unity.ml-agents.extensions (C#)
- The minimum supported Unity version was updated to 2021.3. (#)
ml-agents / ml-agents-envs
- Add your trainers to the package using Ml-Agents Custom Trainers plugin. (#)
- ML-Agents Custom Trainers plugin is an extensible plugin system to define new trainers based on the High level trainer API, read more here.
- Refactored core modules to make ML-Agents internal classes more generalizable to various RL algorithms. (#)
- The minimum supported Python version for ML-agents has changed to 3.8.13. (#)
- The minimum supported version of PyTorch was changed to 1.8.0. (#)
- Add shared critic configurability for PPO. (#)
- We moved
UnityToGymWrapperandPettingZooAPI toml-agents-envspackage. All these environments will be versioned underml-agents-envspackage in the future (#)
Minor Changes
com.unity.ml-agents / com.unity.ml-agents.extensions (C#)
- Added switch to RayPerceptionSensor to allow rays to be ordered left to right. (#)
- Current alternating order is still the default but will be deprecated.
- Added suppport for enabling/disabling camera object attached to camera sensor in order to improve performance. (#)
ml-agents / ml-agents-envs
- Renaming the path that shadows torch with "mlagents/trainers/torch_entities" and update respective imports (#)