LaWM: Least Action World Models for Long-Horizon Physical Consistency from Visual Observations
arXiv:2605.08279v1 Announce Type: cross
Abstract: Learning predictive world models from visual observations is a core problem in embodied AI, with applications to model-based reinforcement learning and robotic planning. Existing latent world models ty…