Multi-Agent Reinforcement Learning with JAX
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
The absolute trainer to light up AI agents.