Pierre-Alexandre Leziart

CaT: Constraints as Terminations for Legged Locomotion Reinforcement Learning

Deep Reinforcement Learning (RL) has demonstrated impressive results in solving complex robotic tasks such as quadruped locomotion. Yet, current solvers fail to produce efficient policies respecting hard constraints. In this work, we advocate for integrating constraints into robot learning and prese