Craig Boutilier

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Ronen BrafmanDepartment of Computer Science, Ben-Gurion UniversityVerified email at cs.bgu.ac.il
Tyler LuResearch Scientist, GoogleVerified email at cs.toronto.edu
Pascal PoupartUniversity of WaterlooVerified email at uwaterloo.ca
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
Georgios ChalkiadakisTechnical University of CreteVerified email at isc.tuc.gr
Carmel DomshlakProfessor, TechnionVerified email at ie.technion.ac.il
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
Martin MladenovGoogle ResearchVerified email at google.com

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	1472	1999
The dynamics of reinforcement learning in cooperative multiagent systems C Claus, C Boutilier AAAI/IAAI 1998 (746-752), 2, 1998	1389	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	1156	2004
Context-specific independence in Bayesian networks C Boutilier, N Friedman, M Goldszmidt, D Koller arXiv preprint arXiv:1302.3562, 2013	900	2013
SPUDD: Stochastic planning using decision diagrams J Hoey, R St-Aubin, A Hu, C Boutilier arXiv preprint arXiv:1301.6704, 2013	584	2013
Planning, learning and coordination in multiagent decision processes C Boutilier TARK 96, 195-210, 1996	566	1996
Stochastic dynamic programming with factored representations C Boutilier, R Dearden, M Goldszmidt Artificial intelligence 121 (1-2), 49-107, 2000	557	2000
Exploiting structure in policy construction C Boutilier, R Dearden, M Goldszmidt IJCAI 14, 1104-1113, 1995	528	1995
Sequential optimality and coordination in multiagent systems C Boutilier IJCAI 99, 478-485, 1999	462	1999
Toward a logic for qualitative decision theory C Boutilier Principles of knowledge representation and reasoning, 75-86, 1994	461	1994
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	377	2013
Reasoning With Conditional Ceteris Paribus Preference Statements. C Boutilier, RI Brafman, HH Hoos, D Poole UAI 99, 71-80, 1999	351	1999
Solving combinatorial auctions using stochastic local search HH Hoos, C Boutilier Aaai/iaai, 22-29, 2000	338	2000
Symbolic dynamic programming for first-order MDPs C Boutilier, R Reiter, B Price IJCAI 1, 690-700, 2001	307	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	303	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	298	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	276	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	275	2010
UCP-networks: A directed graphical representation of conditional utilities C Boutilier, F Bacchus, RI Brafman arXiv preprint arXiv:1301.2259, 2013	269	2013

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