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VectorizedMultiAgentSimulator
by proroklab
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.
场景 Scenario:🧰Agent框架 · Agent Frameworks
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An open-source project — explore the code and self-host it from GitHub.