Shlomo Zilberstein

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

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Shlomo Zilberstein

Professor of Computer Science, University of Massachusetts Amherst

Verificeret mail på cs.umass.edu - Startside

Artificial Intelligence Automated Planning Multiagent Systems Autonomous Agents Bounded Rationality


Titel Sortér efter henvisninger Sortér efter årstal Sortér efter titel	Citeret af Citeret af	År
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	2170	2002
Using anytime algorithms in intelligent systems S Zilberstein AI magazine 17 (3), 73-83, 1996	1066	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	779	2004
LAO∗: A heuristic search algorithm that finds solutions with loops EA Hansen, S Zilberstein Artificial Intelligence 129 (1-2), 35-62, 2001	639	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	333	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	302	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	247	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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