Updated 6 months ago
vmas
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 6 months ago
TensorGames
Computing mixed-strategy Nash Equilibria for games involving multiple players