Task Force on Reinforcement Learning for Robots

IEEE Computational Intelligence Society
Technical Committee on Adaptive Dynamic Programming and Reinforcement Learning

Task Force on Reinforcement Learning for Robots

Aim

The aim of this task force is to promote the research on novel reinforcement learning theory and methods for robotics

Activities

Organize several special issues in Neurocomputing, IEEE Trans, and Mathematical Problems in Engineering
Organize several special sessions in WCCI, IEEE SSCI, ICRA conferences

Task Force Chairs

Wen Yu
Departamento de Control Automatico
CINVESTAV-IPN (National Polytechnic Institute)
Mexico City, 07360, Mexico
yuw@ctrl.cinvestav.mx

Zeng-Guang Hou
State Key Laboratory of Management and Control for Complex Systems
Institute of Automation
Chinese Academy of Sciences
Beijing, China
zengguang.hou@ia.ac.cn

Potential Members

Jacob Rosen Ph.D.
Bionics Lab Director
Dept. of Mechanical and Aerospace Engineering
School of Engineering
University of California, Los Angeles

Edgar Nelson Sánchez
Departamento de Control Automatico
CINVESTAV-Guadalajala
Zapopan, Jalisco,México 45019

Jindong Tan
Department of Mechanical, Aerospace, and Biomedical Engineering
University of Tennessee
Knoxville, TN 37996-2210