DAWM: Diffusion Action World Models for Offline Reinforcement Learning via Action-Inferred Transitions
arXiv:2509.19538v2 Announce Type: replace-cross
Abstract: Diffusion-based world models have demonstrated strong capabilities in synthesizing realistic long-horizon trajectories for offline reinforcement learning (RL). However, many existing methods do…