UNIVERSITY OF HERTFORDSHIRE COMPUTER SCIENCE RESEARCH COLLOQUIUM presents "Finite State Markov Decision Problems with Transfer Entropy Constraints" Dr. Takashi Tanaka (KTH Royal Institute of Technology, Sweden) 5 April 2017 (Wednesday) 1 - 2 pm Hatfield, College Lane Campus Lecture Theatre C400 Everyone is Welcome to Attend Refreshments will be available Abstract: We consider finite state Markov decision problems (MDPs) in which a weighted sum of the classical state-dependent cost and the transfer entropy from the state random process to the control random process is minimized. The transfer entropy is given an interpretation in networked control systems as the rate at which the sensor data is fed back to the controller. In non-equilibrium thermodynamics, the transfer entropy provides a fundamental limitation of the efficiency of a thermal engine operated far from equilibrium. In this talk, we first show that an optimality condition for the decision policy is obtained by dynamic programming. Then we discuss an iterative forward-backward computational procedure similar to Arimoto-Blahut algorithm to synthesize the optimal policy numerically. Convergence of the algorithm is established. The proposed algorithm is applied to an information-constrained navigation problem over a maze, whereby we study how the price of information alters the optimal decision polices qualitatively. About the Speaker: Takashi Tanaka received his B.S. degree from Tokyo University in 2006, M.S. and Ph.D. degrees from University of Illinois at Urbana-Champaign (UIUC) in 2009 and 2012, all in Aerospace Engineering. He was a postdoctoral associate at the Laboratory for Information and Decision Systems (LIDS) at Massachusetts Institute of Technology (MIT) from 2012 to 2015. Currently, he is a postdoctoral researcher in the School of Electrical Engineering at KTH Royal Institute of Technology, Sweden. From Fall 2017, he will be an Assistant Professor in the Department of Aerospace Engineering and Engineering Mechanics at the University of Texas at Austin. His research interests include control, optimization, game theory, information theory, and their applications to distributed decision-making problems. --------------------------------------------------- Hertfordshire Computer Science Research Colloquium http://cs-colloq.cs.herts.ac.uk