CMU-LCS (Yufei Wang): Differentiable trajectory optimization as a policy representation

CMU Learning and Control Seminar by Yufei Wang
Differentiable trajectory optimization as a policy representation for reinforcement and imitation learning
Bio: Yufei Wang is a third year Phd student at Robotics Institute, Carnegie Mellon University, co-advised by Prof. Zackory Erickson and Prof. David Held. He received M.S. in Computer Science from Computer Science Department, Carnegie Mellon University in Dec, 2020, advised by Prof. David Held, and B.S. in Data Science from Yuanpei College, Peking University in July 2019, advised by Prof. Bin Dong. His general research interest is robot learning. His graduate study is supported by the Uber Presidential Fellowship.