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.
simulator
robotics
simulation
pytorch
multi-agent
gym
vectorization
multi-agent-systems
vectorized
multi-robot
multi-robot-framework
multi-agent-learning
gym-environment
multi-agent-simulation
multi-agent-reinforcement-learning
rllib
marl
multi-robot-simulator
multi-robot-sim
multi-robot-systems
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Updated
Jul 18, 2024 - Python