Reasoning with Latent Diffusion in Offline Reinforcement Learning

1 code implementation • 12 Sep 2023 • Siddarth Venkatraman, Shivesh Khaitan, Ravi Tej Akella, John Dolan, Jeff Schneider, Glen Berseth

However, a key challenge in offline RL lies in effectively stitching portions of suboptimal trajectories from the static dataset while avoiding extrapolation errors arising due to a lack of support in the dataset.

D4RL Offline RL +3