Identifiability and generalizability from multiple experts in Inverse Reinforcement Learning

1 code implementation • 22 Sep 2022 • Paul Rolland, Luca Viano, Norman Schuerhoff, Boris Nikolov, Volkan Cevher

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 from observing an expert's behavior.

reinforcement-learning Reinforcement Learning (RL)