Learning From Human Directional Corrections

Author:

Jin Wanxin1ORCID,Murphey Todd D.2ORCID,Lu Zehui3ORCID,Mou Shaoshuai3ORCID

Affiliation:

1. General Robotics, Automation, Sensing and Perception (GRASP) Laboratory, University of Pennsylvania, Philadelphia, PA, USA

2. Department of Mechanical Engineering, Northwestern University, Evanston, IL, USA

3. School of Aeronautics and Astronautics, Purdue University, West Lafayette, IN, USA

Funder

National Science Foundation

Consortium of Northrop Grumman Corporation

Rolls-Royce Corporation

NASA University Leadership Initiative

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference41 articles.

1. A convex approach to inverse optimal control and its application to modeling human locomotion

2. Learning linear complementarity systems;jin;Proc Learn Dyn Control Conf,0

3. Nonlinear regulator theory and an inverse optimal control problem

4. Safe Pontryagin differentiable programming;jin;Proc Adv Neural Inf Process Syst,0

5. Algorithms for inverse reinforcement learning;ng;Proc IEEE Int Conf Mach Learn,0

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