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VectorizedMultiAgentSimulator
Free575VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It
About
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.
Key Features
- gym
- gym-environment
- marl
- multi-agent
- multi-agent-learning
Pricing
FreeOpen source. You supply your own LLM API keys.
Categories
General