<ul><li>Neural Motion Simulator (MoSim) is a world model that predicts the future physical state of an embodied system based on current observations and actions.</li><li>MoSim achieves state-of-the-art performance in physical state prediction and provides competitive performance across a range of downstream tasks.</li><li>Accurate world models with precise long-horizon predictions can facilitate efficient skill acquisition and enable zero-shot reinforcement learning.</li><li>MoSim decouples physical environment modeling from RL algorithm development, leading to improved sample efficiency and generalization capabilities.</li></ul>

Neural Motion Simulator: Pushing the Limit of World Models in Reinforcement Learning

Discover more