An Open Source Tool for Scaling Multi-Agent Reinforcement Learning

Eric Liang blog, Distributed Systems, Ray, Reinforcement Learning 0 Comments

We just rolled out general support for multi-agent reinforcement learning in Ray RLlib 0.6.0. This blog post is a brief tutorial on multi-agent RL and how we designed for it in RLlib. Our goal is to enable multi-agent RL across a range of use cases, from leveraging existing single-agent algorithms to training with custom algorithms at large scale.