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VMAS
Vectorized multi-agent simulator for MARL benchmarking
GPL-3.0
ABOUT
Multi-robot MARL is slow when each scenario runs as a separate CPU process. VMAS vectorizes 2D physics in PyTorch with modular scenarios so hundreds of multi-agent environments step together on GPU.
INSTALL
pip install vmasINTEGRATION GUIDE
1. Benchmark MAPPO or IPPO on VMAS multi-robot navigation scenarios
2. Train cooperative robots in a batched 2D physics environment
3. Add a custom multi-agent scenario through VMAS's modular interface
4. Wrap VMAS for Gymnasium or RLlib without rewriting the simulator
TAGS
pythonpytorchmarlmulti-agentroboticssimulation