Almudena Alcaide

Temporal Expert-Based Reward Learning for Inverse Reinforcement Learning

Learning reward functions from expert demonstrations removes the need for manual reward engineering in reinforcement learning applied to robotic manipulation. Existing methods, however, require trajectory quality annotations, episode success labels, or produce implicit rewards that are difficult to inspect. This paper...