Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning

Paul Rolland, Luca Viano, Norman Schuerhoff +2

While Reinforcement Learning (RL) aims to train an agent from a reward function in a given environment, Inverse Reinforcement Learning (IRL) seeks to recover the reward function fr…