2024
Diffusion Models as Optimizers for Efficient Planning in Offline RL
ECCV 2024poster
"Diffusion models have shown strong competitiveness in offline reinforcement learning tasks by formulating decision-making as sequential generation. However, the practicality of these methods is limited due to the lengthy inference processes they require. In this paper, we address this problem by de…