2024
Exploring Constrained Reinforcement Learning Algorithms for Quadrupedal Locomotion
IROS 2024poster
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…