Call for Papers WCCI 2016 Special Session "Reinforcement Learning and Approximate Dynamic Programming for Optimization in Dynamic Environment"

Reinforcement learning and approximate dynamic programming can be used to address learning and optimization problems in many areas of engineering and science, including artificial intelligence, control engineering, operation research, psychology, and economy. They have provided critical tools to solve some engineering and science problems in modern complex systems. However, there still exist some challenges in the applications of reinforcement learning and approximate dynamic programming to academic and industrial problems such as the curse of dimensionality and optimization in dynamic environment. At the same time, the development of new technologies such as quantum technology and deep learning provides a remarkable opportunity to revisit these challenges in reinforcement learning and approximate dynamic programming. This special session will focus on relevant topics of reinforcement learning and approximate dynamic programming, and provide a forum for idea exchange in the emerging research area.

Scope and Topics

The aim of this special session will be to provide an account of the state-of-the-art in this fast moving and cross-disciplinary field of reinforcement learning and approximate dynamic programming. It is expected to bring together the researchers in relevant areas to discuss latest progress, propose new research problems for future research. All the original papers related to reinforcement learning (RL) and approximate dynamic programming (ADP) are welcome. Topics of interest include but are not limited to:

• ADP for discrete-time systems
• ADP for continuous-time systems 
• Policy iteration algorithm
• hierarchical reinforcement learning
• multi-agent reinforcement learning
• deep reinforcement learning
• quantum reinforcement learning applications of ADP and RL to optimization in dynamic environment

Paper Submission

Perspective authors should submit their papers through the IEEE IJCNN/WCCI 2016 conference submission system at http://www.wcci2016.org/

Templates and instruction for authors will be provided on the IEEE IJCNN/WCCI webpage http://www.wcci2016.org/

Please make sure to select the Special Session IJCNN-29 “Reinforcement Learning and Approximate Dynamic Programming for Optimization in Dynamic Environment” from the “S. SPECIAL SESSION TOPICS” name in the “Main Research topic” dropdown list;

All the submissions to the special sessions will be subject to the same peer-review procedure as regular papers, and accepted papers will be published in the conference proceedings.

Further information about IEEE IJCNN/WCCI 2016 can be found at http://www.wcci2016.org/
For any question you may have about the Special Session or paper submission, feel free to contact the organizers of this Special Session.

Important Dates

Paper submission: January 15th, 2016
Paper Decision notification: March 15th, 2016
Camera-ready submission: April 15th, 2016
Conference Dates: July 25 - 29th, 2016

Organizers

Dr Daoyi Dong
Senior Lecturer, School of Engineering and Information Technology, University of New South Wales, Australia
E-mail: daoyidong@gmail.com

Prof Dongbin Zhao
Professor, Institute of Automation, Chinese Academy of Sciences, China
E-mail: dongbin.zhao@ia.ac.cn

A/Prof Qinmin Yang
Associate Professor, Department of Control Science and Engineering, Zhejiang University, China
E-mail: qmyang@iipc.zju.edu.cn