The 2007 IEEE International Symposium on Approximate Dynamic Programming
and Reinforcement Learning (IEEE ADPRL'07) will be held jointly with
several other symposia on 1-4 April 2007 in the Hilton Hawaiian Village,
Honolulu, Hawaii.
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.
Further information available at:
http://liu.ece.uic.edu/ADPRL07
Important Dates:
Special session proposals deadline: October 15, 2006
Paper submission deadline: November 1, 2006
David Fogel: General Chair
Derong Liu: Program Chair
Remi Munos, Jennie Si, Donald C. Wunsch: Program Co-Chairs
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