Zhixuan Liang

AdaptDiffuser: Diffusion Models as Adaptive Self-evolving Planners

2023 · arXiv (Cornell University)

Diffusion models have demonstrated their powerful generative capability in many tasks, with great potential to serve as a paradigm for offline reinforcement learning. However, the quality of the diffusion model is limited by the insufficient …