Craig Boutilier

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Ronen BrafmanDepartment of Computer Science, Ben-Gurion UniversityVerified email at cs.bgu.ac.il
Pascal PoupartUniversity of WaterlooVerified email at uwaterloo.ca
Tyler LuResearch Scientist, GoogleVerified email at cs.toronto.edu
Moises GoldszmidtDistinguished Engineer at AppleVerified email at apple.com
Holger HoosLeiden University, The Netherlands & University of British Columbia, CanadaVerified email at liacs.nl
Tuomas SandholmAngel Jordan University Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Jesse HoeyProfessor of Computer Science, University of WaterlooVerified email at cs.uwaterloo.ca
David PooleProfessor of Computer Science, University of British ColumbiaVerified email at cs.ubc.ca
Richard DeardenReader in Intelligent Robotics, University of BirminghamVerified email at cs.bham.ac.uk
Alex MihailidisProfessor, Department of Occupational Science & Occupational Therapy, University of TorontoVerified email at utoronto.ca
David C. ParkesGeorge F. Colony Professor of Computer Science, Harvard UniversityVerified email at eecs.harvard.edu
Dale SchuurmansResearch Scientist, Google Brain / Professor, University of AlbertaVerified email at cs.ualberta.ca
Paolo ViappianiCNRS researcher, LIP6, Sorbonne UniversitéVerified email at lip6.fr
Bob PriceResearch Scientist, Palo Alto Research CenterVerified email at parc.com
Carmel DomshlakProfessor, TechnionVerified email at ie.technion.ac.il
Georgios ChalkiadakisTechnical University of CreteVerified email at isc.tuc.gr
Fahiem BacchusProfessor of Computer Science, University of TorontoVerified email at cs.toronto.edu
Steve HanksProfessor of Computer Science, University of WashingtonVerified email at cs.washington.edu
Leslie KaelblingVerified email at csail.mit.edu
Darius BraziunasTD Bank GroupVerified email at cs.toronto.edu

Craig Boutilier

Principal Scientist, Google

Verified email at google.com - Homepage

Artificial Intelligence Decision Theory Recommender Systems Computational Economics Reinforcement Learning


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Decision-theoretic planning: Structural assumptions and computational leverage C Boutilier, T Dean, S Hanks Journal of Artificial Intelligence Research 11, 1-94, 1999	1444	1999
The dynamics of reinforcement learning in cooperative multiagent systems C Claus, C Boutilier AAAI/IAAI 1998 (746-752), 2, 1998	1349	1998
CP-nets: A tool for representing and reasoning withconditional ceteris paribus preference statements C Boutilier, RI Brafman, C Domshlak, HH Hoos, D Poole Journal of artificial intelligence research 21, 135-191, 2004	1145	2004
Context-specific independence in Bayesian networks C Boutilier, N Friedman, M Goldszmidt, D Koller arXiv preprint arXiv:1302.3562, 2013	878	2013
An MDP-based recommender system. G Shani, D Heckerman, RI Brafman Journal of Machine Learning Research 6 (9), 2005	764	2005
SPUDD: Stochastic planning using decision diagrams J Hoey, R St-Aubin, A Hu, C Boutilier arXiv preprint arXiv:1301.6704, 2013	577	2013
Stochastic dynamic programming with factored representations C Boutilier, R Dearden, M Goldszmidt Artificial intelligence 121 (1-2), 49-107, 2000	551	2000
Planning, learning and coordination in multiagent decision processes C Boutilier TARK 96, 195-210, 1996	541	1996
Exploiting structure in policy construction C Boutilier, R Dearden, M Goldszmidt IJCAI 14, 1104-1113, 1995	526	1995
Toward a logic for qualitative decision theory C Boutilier Principles of knowledge representation and reasoning, 75-86, 1994	454	1994
Sequential optimality and coordination in multiagent systems C Boutilier IJCAI 99, 478-485, 1999	451	1999
Hierarchical solution of Markov decision processes using macro-actions M Hauskrecht, N Meuleau, LP Kaelbling, TL Dean, C Boutilier arXiv preprint arXiv:1301.7381, 2013	365	2013
Reasoning With Conditional Ceteris Paribus Preference Statements. C Boutilier, RI Brafman, HH Hoos, D Poole UAI 99, 71-80, 1999	348	1999
Solving combinatorial auctions using stochastic local search HH Hoos, C Boutilier Aaai/iaai, 22-29, 2000	332	2000
Symbolic dynamic programming for first-order MDPs C Boutilier, R Reiter, B Price IJCAI 1, 690-700, 2001	306	2001
Conditional logics of normality: a modal approach C Boutilier Artificial intelligence 68 (1), 87-154, 1994	306	1994
A POMDP formulation of preference elicitation problems C Boutilier AAAI/IAAI, 239-246, 2002	297	2002
Computing optimal policies for partially observable decision processes using compact representations C Boutilier, D Poole Proceedings of the National Conference on Artificial Intelligence, 1168-1175, 1996	289	1996
Decision-theoretic, high-level agent programming in the situation calculus C Boutilier, R Reiter, M Soutchanski, S Thrun AAAI/IAAI 2000, 355-362, 2000	277	2000
Automated handwashing assistance for persons with dementia using video and a partially observable Markov decision process J Hoey, P Poupart, A von Bertoldi, T Craig, C Boutilier, A Mihailidis Computer Vision and Image Understanding 114 (5), 503-519, 2010	273	2010

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