Lukas Schroth

Exploring Constrained Reinforcement Learning Algorithms for Quadrupedal Locomotion

Shifting from traditional control strategies to Deep Reinforcement Learning (RL) for legged robots poses inherent challenges, especially when addressing real-world physical constraints during training. While high-fidelity simulations provide significant benefits, they often bypass these essential ph…