ADPRL 2016 Special Session

IEEE SSCI-ADPRL 2016 Special Session:

Title: New adaptive dynamic programming and reinforcement learning approaches for smart and complex cyber-physical systems

Aim: Through the recent years, new adaptive dynamic programming (ADP) and reinforcement learning (RL) methodologies and frameworks have been developed, including deep reinforcement learning, deep neural networks, deep fitted Q network, and so on, to address the big data and complex decision making issues in modern cyber-physical systems. More smart and complex systems are based on online learning and control, such as smart cities, smart homes/buildings, smart grid/microgrid, robotics, energy management systems, and autonomous systems. They are able to intelligently respond to their environment and usually require interdisciplinary efforts as well as mathematical modeling and optimization approaches to move forward efficiently. This special session will enhance the discussion among different communities to explore more challenging cross-disciplinary topics along this direction.

 

 

Scope and Topics:

This special session will provide a platform for original research results and new techniques in ADP/RL for complex cyber-physical systems. We are particularly interested in the following topics:

·       ADP and RL applications for cyber-physical systems

·       ADP and RL based real-time adaptive control

·       ADP and RL based event-triggered control

·       Constraint based ADP and RL for realistic applications

·       Intelligent decision making for energy management systems

·       Intelligent decision making for partially observable systems

·       New ADP and RL algorithms, stability analysis, and convergence

·       Deep reinforcement learning, deep fitted Q learning

·       Deep adaptive dynamic programming design

·       Big data applications and opportunities

 

 

IMPORTANT DATES

·       Paper Submission Deadline: 15 August 2016

·       Notification of Acceptance: 12 September 2016

·       Final Paper Submission Deadline: 10 October 2016

 

Paper Submission:

 

·       Please follow IEEE SSCI 2016 Submission Web Site (http://ssci2016.cs.surrey.ac.uk/Paper%20Submission.htm).

 

Name of organizers

Zhen Ni, South Dakota State University, SD, USA

Ali Heydari, South Dakota School of Mines and Technology, SD, USA

Hao Xu, University of Nevada, Reno, NV, USA