ARMOR: A Model-based Framework for Improving Arbitrary Baseline Policies with Offline Data

Tengyang Xie, Mohak Bhardwaj, Nan Jiang +1

We propose a new model-based offline RL framework, called Adversarial Models for Offline Reinforcement Learning (ARMOR), which can robustly learn policies to improve upon an arbitr…