VectorizedMultiAgentSimulator AI Agent

by proroklab• 627•• Scanned•Claim this listing•Request removal
Learning Resourcesgymgym environmentmarlmulti agentmulti agent learning

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.

VectorizedMultiAgentSimulator is an open-source ai agent by proroklab, written mainly in Python, with 627 GitHub stars and the GPL-3.0 license. Its code was last updated May 19, 2026.

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