2022
When to Update Your Model: Constrained Model-based Reinforcement Learning
NeurIPS 2022accept
Designing and analyzing model-based RL (MBRL) algorithms with guaranteed monotonic improvement has been challenging, mainly due to the interdependence between policy optimization and model learning. Existing discrepancy bounds generally ignore the impacts of model shifts, and their corresponding alg…