Toward Reliable Designs of Data-Driven Reinforcement Learning Tracking Control for Euler-Lagrange Systems

no code implementations • 31 Dec 2020 • Zhikai Yao, Jennie Si, Ruofan Wu, Jianyong Yao

Our proposed new design takes advantage of two control design frameworks: a reinforcement learning based, data-driven approach to provide the needed adaptation and (sub)optimality, and a backstepping based approach to provide closed-loop system stability framework.

reinforcement-learning Reinforcement Learning (RL)