Versatile Inverse Reinforcement Learning via Cumulative Rewards

Niklas Freymuth, Philipp Becker, Gerhard Neumann

Inverse Reinforcement Learning infers a reward function from expert demonstrations, aiming to encode the behavior and intentions of the expert. Current approaches usually do this w…