VectorizedMultiAgentSimulator

Public

VMAS is a vectorized differentiable simulator 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.

gym gym-environment marl multi-agent multi-agent-learning multi-agent-reinforcement-learning multi-agent-simulation multi-agent-systems multi-robot multi-robot-framework

Creat：2022-05-12T23:03:34

Update：2025-03-27T02:15:23

https://vmas.readthedocs.io

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