Optimality Inductive Biases and Agnostic Guidelines for Offline Reinforcement Learning

Lionel Blondé, Alexandros Kalousis, Stéphane Marchand-Maillet

The performance of state-of-the-art offline RL methods varies widely over the spectrum of dataset qualities, ranging from far-from-optimal random data to close-to-optimal expert de…