Programming and Reinforcement Learning

Welcome to ADPRL 2007 - the very first IEEE International Symposium on Approximate Dynamic Programming and Reinforcement Learning. 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. You will enjoy an extraordinary technical program thanks to the ADPRL 2007 International Program Committee members who worked very hard to have all papers reviewed before the review deadline. We received a total of 65 submissions from various parts of the world. The final technical program consists of 49 papers among which 40 are oral session papers and 9 are poster session papers. There will be a keynote lecture delivered by Frank L. Lewis entitled “Adaptive Dynamic Programming for Robust Optimal Control Using Nonlinear Network Learning Structures.”