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proroklab/VectorizedMultiAgentSimulator

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 mod…

Owner
proroklab (organization)
Stars
Stars: 627
Forks
Forks: 115
Language
Python
License
GPL-3.0
Created
2022
Topics
gymgym-environmentmarlmulti-agentmulti-agent-learningmulti-agent-reinforcement-learningmulti-agent-simulationmulti-agent-systemsmulti-robotmulti-robot-framework
Tier
Alpha (250 to 699 ★) What this tier means
View on GitHub

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