Filippo-Venturini's Stars
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.
Farama-Foundation/MAgent2
An engine for high performance multi-agent environments with very large numbers of agents, along with a set of reference environments