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multi-agent-simulation

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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.

  • Updated May 19, 2026
  • Python

Macro behavioral simulation, model how populations respond to regulation, market shocks, sanctions, and policy pressure. 15 jurisdictions, epistemic transparency layer, optional LLM swarm intelligence. Upload a PDF and simulate it!

  • Updated Mar 25, 2026
  • Python

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