Learning from Random Demonstrations: Offline Reinforcement Learning with Importance-Sampled Diffusion Models

Zeyu Fang, Tian Lan

Generative models such as diffusion have been employed as world models in offline reinforcement learning to generate synthetic data for more effective learning. Existing work eithe…