Offline Policy Optimization with Posterior Sampling

Hongqiang Lin, Dongxu Zhang, Yiding Sun +3

A fundamental challenge in model-based offline reinforcement learning (RL) lies in the trade-off between generalization and robustness against exploitation errors in out-of-distrib…