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LISC Research Area
 

Methods and algorithms for learning and computational intelligence. Optimal control and approximate dynamic programming techniques, with applications in adaptive flight control, and control of mobile sensor networks. Theory and applications of network models, such as neural and probabilistic networks, with an emphasis on memory and reliability. Application of expert systems and systems theory to psychological and cognitive modeling from data.
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Learn about our NSF IGERT Graduate Training Program in Wireless Intelligent Sensor Networks (WISeNet) »

Learn about the IEEE Technical Committee on Adaptive Dynamic Programming and Reinforcement Learning »

 
   

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LISC Homepage, Laboratory for Intelligent Systems and Controls at Duke University