RL + Model-based Control: Using On-demand Optimal Control to Learn Versatile Legged Locomotion

Dongho Kang, Jin Cheng, Miguel Zamora +2

This paper presents a control framework that combines model-based optimal control and reinforcement learning (RL) to achieve versatile and robust legged locomotion. Our approach en…