2024
Reasoning with Latent Diffusion in Offline Reinforcement Learning
ICLR 2024poster
Offline reinforcement learning (RL) holds promise as a means to learn high-reward policies from a static dataset, without the need for further environment interactions. However, a key challenge in offline RL lies in effectively stitching portions of suboptimal trajectories from the static dataset wh…