ML-Agents Release 16

Package Versions

NOTE: It is strongly recommended that you use packages from the same release together for the best experience.

Major Changes

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

• The --resume flag now supports resuming experiments with additional reward providers or loading partial models if the network architecture has changed. See here for more details. (#5213)

Bug Fixes

com.unity.ml-agents (C#)

• Fixed erroneous warnings when using the Demonstration Recorder. (#5216)

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

• 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)
• 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)
• ELO now correctly resumes when loading from a checkpoint. (#5202)
• In the Python API, fixed validate_action to expect the right dimensions when set_action_single_agent is called. (#5208)
• In the GymToUnityWrapper, raise an appropriate warning if step() is called after an environment is done. (#5204)
• Fixed an issue where using one of the gym wrappers would override user-set log levels. (#5201)