The Unity Machine Learning Agents Toolkit (ML-Agents) is an open-source project that enables games and simulations to serve as environments for training intelligent agents using deep reinforcement learning and imitation learning.
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 (#)