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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