Bayesian Reinforcement Learning for Coalition Formation under Uncertainty Georgios Chalkiadakis Dept. of Computer Science, Univ. of Toronto Toronto, ON, M5S 3G4, Canada Abstract

First Page		Document Content
Date: 2008-07-19 11:36:16 Game theory Decision theory Gaming Cooperative game theory Core Coalition Shapley value Bayesian probability Transferable utility Bayesian inference Nash equilibrium Prior probability		Bayesian Reinforcement Learning for Coalition Formation under Uncertainty Georgios Chalkiadakis Dept. of Computer Science, Univ. of Toronto Toronto, ON, M5S 3G4, Canada Abstract Add to Reading List Source URL: www.intelligence.tuc.gr Download Document from Source Website File Size: 182,47 KB Share Document on Facebook

	C OLONEL B LOTTO : S EARCHING FOR PATTERNS IN A G AME OF A LLOCATION By Jeremiah Jones DocID: 1rtXP - View Document
	Predicting Quality Attributes of Software Product Lines Using Software and Network Measures and Sampling Sergiy S. Kolesnikov University of Passau Germany DocID: 1rrSa - View Document
	Chapter Three: Static Games* Game-theoretic modeling often begins with the simplest of structures, either in extensive or in normal form. Such simple structures are meant to define the players, their available actions an DocID: 1roEf - View Document
	The Generalized Median Stable Matchings: finding them is not that easy Christine T. Cheng Department of Computer Science University of Wisconsin–Milwaukee, Milwaukee, WI 53211, USA. DocID: 1roij - View Document
	Background/Motivation Private Sector Central Bank DocID: 1rmPO - View Document