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proroklab/VectorizedMultiAgentSimulator

@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.

Stars
604
Forks
113
Language
Python
License
GPL-3.0
Last push
4 months ago
Pythonsimulatormulti-agentroboticssimulationgympytorchmulti-agent-systemsmulti-agent-simulationgym-environmentmulti-agent-reinforcement-learningmulti-robotmarlmulti-agent-learningmulti-robot-frameworkmulti-robot-simmulti-robot-simulatormulti-robot-systemsrllibvectorizationvectorized

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