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SUMMARY:Information-Theoretic Bounded Rationality - Pedro A. Ortega (Unive
 rsity of Pennsylvania)
DTSTART:20150907T100000Z
DTEND:20150907T110000Z
UID:TALK60422@talks.cam.ac.uk
CONTACT:Zoubin Ghahramani
DESCRIPTION:In this talk I provide an overview of information-theoretic bo
 unded rationality for planning in sequential decision problems. I show how
  to ground the theory on a stochastic computation model for large-scale ch
 oice spaces and then derive the free energy functional as the associated v
 ariational principle for characterising bounded-rational decisions. These 
 decision processes have three important properties: they trade off utility
  and decision complexity\; they give rise to an equivalence class of behav
 iourally indistinguishable decision problems\; and they possess natural st
 ochastic choice algorithms. I will discuss a general class of bounded-rati
 onal sequential planning problems that encompasses some well-known classic
 al planning algorithms as limit cases (such as Expectimax and Minimax)\, a
 s well as trust- and risk-sensitive planning. Finally\, I will point out f
 ormal connections to Bayesian inference and to regret theory.\n\n*Credits*
 : This is joint work with Daniel A. Braun\, Kee-Eung Kim\, Daniel D. Lee\,
  and Naftali Tishby (in alphabetical order).
LOCATION:Engineering Department\, CBL Room BE-438
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