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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.
Unity3D based multi-robot simulator can bring-up simulation environment by SDF(Simulation Description File) easily. And it supports to connect ROS2 through cloisim_ros.