DAWM: Diffusion Action World Models for Offline Reinforcement Learning via Action-Inferred Transitions

Zongyue Li, Xiao Han, Yusong Li +2

Diffusion-based world models have demonstrated strong capabilities in synthesizing realistic long-horizon trajectories for offline reinforcement learning (RL). However, many existi…