[P] Significant improvements for multi-agent reinforcement learning!

We've just released a new version of our evolutionary hyperparameter optimization RL framework, which is 10x faster than SOTA!

This update is focused on multi-agent RL. We've introduced MADDPG and MATD3 to the framework. These algorithms are traditionally super brittle, and RLlib even recommends not to use their own implementation of it.

However, our evolutionary framework has solved this problem!

You can now train multiple agents in co-operative or competitive Petting Zoo-style (parallel API) environments, with significantly faster training and …

algorithms faster framework hyperparameter implementation machinelearning optimization reinforcement reinforcement learning rllib sota