2007 IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning

Hilton Hawaiian Village, Honolulu, Hawaii, USA, April 1-5, 2007


Call for Contributed Papers and Special Sessions

The IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning will be held as part of the Symposium Series on Computational Intelligence (SSCI). The area of Approximate Dynamic Programming and Reinforcement Learning is a fusion of a number of research areas in engineering, mathematics, artificial intelligence, operations research, and systems and control theory. 50 years after Richard Bellman's pioneering work on dynamic programming in 1957, this symposium will provide a remarkable opportunity for the academic and industrial community to address new challenges and share solutions, and define promising future research directions. The main challenge introduced by Bellman and which still remains a widely open question is the famous "curse of dimensionality". The theme of this year's symposium is "breaking the curse of dimensionality". A systems approach is required to address new problems of this challenging and promising area, and designing biologically-inspired intelligent systems may be an interesting way to address the problems. All research directions towards "breaking the curse" will be welcome! The symposium will feature plenary speeches from academia, NSF or DARPA, and industry, industrial panel sessions, funding agency panel sessions, poster sessions, and invited/special sessions. Technical topics of the symposium include but are not limited to:

"Towards breaking the curse!"
Parsimoneous function representation
Convergence and performance bounds of ADP
Complexity issues in RL and ADP
Statistical learning and RL, PAC bounds for RL
Monte-Carlo and quasi Monte-Carlo methods
Direct policy search, actor-critic methods
Adaptive feature discovery
Learning rules and architectures for RL
Sensitivity analysis for policy gradient estimation
Neuroscience and biologically inspired control
Partially observable Markov decision processes
Distributed intelligent systems
Multi-agent systems
Multi-level multi-objective optimization
Kernel methods and value function representation
Applications of ADP and RL

Prospective authors are invited to submit complete papers of no more than eight (8) pages in IEEE two-column format, including results, figures, tables and references. Authors should submit their papers in PDF format through the online submission system, which will be available at the website http://www.ieee-ssci.org. A LaTeX style file and a Microsoft Word template are available from the IEEE web site (http://www.ieee.org/pubs/transactions/stylesheets.xml). The title page of the paper should include author name(s), affiliation, mailing address, telephone, fax, and e-mail address. Prospective authors are expected to present their papers at the symposium.

Special session proposals deadline: October 15, 2006
Paper submission deadline: November 1, 2006
Notification of acceptance: December 1, 2006
Camera-ready copy due: January 15, 2007