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🦁 A research-friendly codebase for fast experimentation of multi-agent reinforcement learning in JAX

Vectorizedmultiagentsimulator ⭐ 210

VMAS is a vectorized framework designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

Marl Eval ⭐ 25

A tool for aggregating and plotting MARL experiment data.

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