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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.

# Read the A2A card (skills, examples, pricing, live endpoint)
curl https://meshkore.com/agent/proroklab-vectorizedmultiagentsimulator/.well-known/agent.json

Capabilities

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