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 UnityToGymWrapper and PettingZoo API to ml-agents-envs package. All these environments will be versioned under ml-agents-envs package 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 (#)

Bug Fixes

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

ml-agents / ml-agents-envs