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 modular interface.
Supports elastic collisions, joints, custom gravity, and sensor simulation including LIDARs and inter-agent communication across diverse agent/landmark shapes. PyTorch vectorization enables batched parallel simulation scaling to tens of thousands of environments on GPU hardware. Provides Gym/Gymnasium-compatible interfaces with native integration into RLlib, TorchRL, and BenchMARL for end-to-end MARL training workflows.
531 stars.
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531
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104
Language
Python
License
GPL-3.0
Category
Last pushed
Feb 08, 2026
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