Shlomo Zilberstein

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Kyle Hollins WrayUniversity of Massachusetts AmherstEmail confirmado em stanford.edu
Neil ImmermanCollege of Computer and Information Sciences, UMass, AmherstEmail confirmado em cs.umass.edu
Eric A. HansenDept. of Computer Science and Engineering, Mississippi State UniversityEmail confirmado em cse.msstate.edu
Claudia V. GoldmanThe Hebrew UniversityEmail confirmado em mail.huji.ac.il
Akshat KumarAssociate Professor, School of Information Systems, Singapore ManagementEmail confirmado em smu.edu.sg
Christopher AmatoAssociate Professor at Northeastern UniversityEmail confirmado em ccs.neu.edu
Justin SvegliatoSenior Research Scientist, Microsoft, UC BerkeleyEmail confirmado em microsoft.com
Sandhya SaisubramanianOregon State UniversityEmail confirmado em oregonstate.edu
Victor LesserSchool of Computer Science, University of Massachusetts AmherstEmail confirmado em cs.umass.edu
Stuart RussellProfessor of Computer Science, University of California, BerkeleyEmail confirmado em cs.berkeley.edu
Siddharth SrivastavaArizona State UniversityEmail confirmado em asu.edu
Marek PetrikUniversity of New HampshireEmail confirmado em cs.unh.edu
Richard G. FreedmanPh.D. Student, University of Massachusetts AmherstEmail confirmado em cs.umass.edu
Feng Wu (吴锋)Associate Professor, University of Science and Technology of ChinaEmail confirmado em ustc.edu.cn
Luis PinedaResearch Engineer, Facebook AI ResearchEmail confirmado em fb.com
François CharpilletINRIA - LORIAEmail confirmado em inria.fr
Sven SeukenProfessor of Computation and Economics, University of Zurich and Associated Faculty at ETH AI CenterEmail confirmado em ifi.uzh.ch
Xiaojian WuFacebookEmail confirmado em cs.umass.edu
Donald L FisherVolpe National Transportation Systems CenterEmail confirmado em ecs.umass.edu
Daniel SheldonUniversity of Massachusetts AmherstEmail confirmado em cs.umass.edu

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Shlomo Zilberstein

Professor of Computer Science, University of Massachusetts Amherst

Email confirmado em cs.umass.edu - Página inicial

Artificial Intelligence Automated Planning Multiagent Systems Autonomous Agents Bounded Rationality


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
The complexity of decentralized control of Markov decision processes DS Bernstein, R Givan, N Immerman, S Zilberstein Mathematics of operations research 27 (4), 819-840, 2002	2180	2002
Using anytime algorithms in intelligent systems S Zilberstein AI magazine 17 (3), 73-83, 1996	1068	1996
Dynamic programming for partially observable stochastic games EA Hansen, DS Bernstein, S Zilberstein Proceedings of the 19th National Conference on Artificial Intelligence 4 …, 2004	783	2004
LAO∗: A heuristic search algorithm that finds solutions with loops EA Hansen, S Zilberstein Artificial Intelligence 129 (1-2), 35-62, 2001	640	2001
Decentralized control of cooperative systems: Categorization and complexity analysis CV Goldman, S Zilberstein Journal of Artificial Intelligence Research 22, 143-174, 2004	381	2004
Solving transition-independent decentralized Markov decision processes R Becker, S Zilberstein, V Lesser, CV Goldman Journal of Artificial Intelligence Research 22, 423-455, 2004	363	2004
Optimizing information exchange in cooperative multi-agent systems CV Goldman, S Zilberstein Proceedings of the 2nd International Joint Conference on Autonomous Agents …, 2003	338	2003
Communication decisions in multi-agent cooperation: Model and experiments P Xuan, V Lesser, S Zilberstein Proceedings of the 5th International Conference on Autonomous Agents, 616-623, 2001	334	2001
Operational rationality through compilation of anytime algorithms S Zilberstein Computer Science Division, UC Berkeley, 1993	314	1993
Optimal composition of real-time systems S Zilberstein, S Russell Artificial Intelligence 82 (1-2), 181-213, 1996	303	1996
MAA*: A heuristic search algorithm for solving decentralized POMDPs D Szer, F Charpillet, S Zilberstein Proceedings of the 21st Conference on Uncertainty in Artificial Intelligence …, 2005	276*	2005
Formal models and algorithms for decentralized decision making under uncertainty S Seuken, S Zilberstein Autonomous Agents and Multi-Agent Systems 17, 190-250, 2008	274	2008
Composing real-time systems. SJ Russell, S Zilberstein Proceedings of the 12th International Joint Conference on Artificial …, 1991	248	1991
Bounded policy iteration for decentralized POMDPs DS Bernstein, EA Hansen, S Zilberstein Proceedings of the 19th International Joint Conference on Artificial …, 2005	225	2005
Transition-independent decentralized Markov decision processes R Becker, S Zilberstein, V Lesser, CV Goldman Proceedings of the second international joint conference on Autonomous …, 2003	209	2003
Memory-bounded dynamic programming for DEC-POMDPs. S Seuken, S Zilberstein Proceedings of the 20th International Joint Conference on Artificial …, 2007	203	2007
Monitoring and control of anytime algorithms: A dynamic programming approach EA Hansen, S Zilberstein Artificial Intelligence 126 (1-2), 139-157, 2001	193	2001
Approximate reasoning using anytime algorithms S Zilberstein, S Russell Imprecise and Approximate Computation, 43-62, 1995	185	1995
Improved memory-bounded dynamic programming for decentralized POMDPs S Seuken, S Zilberstein Proceedings of the 23rd Conference on Uncertainty in Artificial Intelligence …, 2007	172*	2007
Anytime sensing, planning and action: A practical model for robot control S Zilberstein, SJ Russell Proceedings of the 13th International Joint Conference on Artificial …, 1993	172	1993

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