Preferred-Action-Optimized Diffusion Policies for Offline Reinforcement Learning

Tianle Zhang, Jiayi Guan, Lin Zhao +8

Offline reinforcement learning (RL) aims to learn optimal policies from previously collected datasets. Recently, due to their powerful representational capabilities, diffusion mode…