Shlomo Zilberstein

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

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Shlomo Zilberstein

Professor of Computer Science, University of Massachusetts Amherst

Zweryfikowany adres z cs.umass.edu - Strona główna

Artificial Intelligence Automated Planning Multiagent Systems Autonomous Agents Bounded Rationality


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	2172	2002
Using anytime algorithms in intelligent systems S Zilberstein AI magazine 17 (3), 73-83, 1996	1069	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	778	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	383	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	361	2004
Optimizing information exchange in cooperative multi-agent systems CV Goldman, S Zilberstein Proceedings of the 2nd International Joint Conference on Autonomous Agents …, 2003	337	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	329	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	299	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	278*	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	275	2008
Composing real-time systems. SJ Russell, S Zilberstein Proceedings of the 12th International Joint Conference on Artificial …, 1991	253	1991
Bounded policy iteration for decentralized POMDPs DS Bernstein, EA Hansen, S Zilberstein Proceedings of the 19th International Joint Conference on Artificial …, 2005	223	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	211	2003
Memory-bounded dynamic programming for DEC-POMDPs. S Seuken, S Zilberstein Proceedings of the 20th International Joint Conference on Artificial …, 2007	204	2007
Monitoring and control of anytime algorithms: A dynamic programming approach EA Hansen, S Zilberstein Artificial Intelligence 126 (1-2), 139-157, 2001	191	2001
Approximate reasoning using anytime algorithms S Zilberstein, S Russell Imprecise and Approximate Computation, 43-62, 1995	187	1995
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	171	1993
Improved memory-bounded dynamic programming for decentralized POMDPs S Seuken, S Zilberstein Proceedings of the 23rd Conference on Uncertainty in Artificial Intelligence …, 2007	168*	2007

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