Tongyu Zong

Reinforced iLQR: A Sample-Efficient Robot Locomotion Learning

Robot locomotion is a major challenge in robotics. Model-based approaches are vulnerable to model errors, and incur high computation overhead resulted from long control horizon. Model-free approaches are trained with a large number of training samples, which are expensive to obtain. In this paper, w…