Jean-Baptiste Bouvier

POLICEd RL: Learning Closed-Loop Robot Control Policies with Provable Satisfaction of Hard Constraints

2024

In this paper, we seek to learn a robot policy guaranteed to satisfy state constraints.To encourage constraint satisfaction, existing RL algorithms typically rely on Constrained Markov Decision Processes and discourage constraint violations through reward shaping.However, …