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Shlomo Zilberstein
2010 – today
- 2013
[i13]Daniel S. Bernstein, Shlomo Zilberstein, Neil Immerman: The Complexity of Decentralized Control of Markov Decision Processes. CoRR abs/1301.3836 (2013)- 2012
[j37]Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein: Applicability conditions for plans with loops: Computability results and algorithms. Artif. Intell. 191-192: 1-19 (2012)
[j36]Akshat Kumar, Shlomo Zilberstein, Marc Toussaint: Message-Passing Algorithms for MAP Estimation Using DC Programming. Journal of Machine Learning Research - Proceedings Track 22: 656-664 (2012)
[c92]Akshat Kumar, XiaoJian Wu, Shlomo Zilberstein: Lagrangian Relaxation Techniques for Scalable Spatial Conservation Planning. AAAI 2012
[i12]Akshat Kumar, Shlomo Zilberstein: Message-Passing Algorithms for Quadratic Programming Formulations of MAP Estimation. CoRR abs/1202.3739 (2012)
[i11]Akshat Kumar, Shlomo Zilberstein: Anytime Planning for Decentralized POMDPs using Expectation Maximization. CoRR abs/1203.3490 (2012)
[i10]Feng Wu, Shlomo Zilberstein, Xiaoping Chen: Rollout Sampling Policy Iteration for Decentralized POMDPs. CoRR abs/1203.3528 (2012)
[i9]Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein: Optimizing Memory-Bounded Controllers for Decentralized POMDPs. CoRR abs/1206.5258 (2012)
[i8]Sven Seuken, Shlomo Zilberstein: Improved Memory-Bounded Dynamic Programming for Decentralized POMDPs. CoRR abs/1206.5295 (2012)
[i7]Daniel Szer, François Charpillet, Shlomo Zilberstein: MAA*: A Heuristic Search Algorithm for Solving Decentralized POMDPs. CoRR abs/1207.1359 (2012)
[i6]Zhengzhu Feng, Shlomo Zilberstein: Region-Based Incremental Pruning for POMDPs. CoRR abs/1207.4116 (2012)
[i5]Zhengzhu Feng, Eric A. Hansen, Shlomo Zilberstein: Symbolic Generalization for On-line Planning. CoRR abs/1212.2459 (2012)- 2011
[j35]Feng Wu, Shlomo Zilberstein, Xiaoping Chen: Online planning for multi-agent systems with bounded communication. Artif. Intell. 175(2): 487-511 (2011)
[j34]Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein: A new representation and associated algorithms for generalized planning. Artif. Intell. 175(2): 615-647 (2011)
[j33]Marek Petrik, Shlomo Zilberstein: Robust Approximate Bilinear Programming for Value Function Approximation. Journal of Machine Learning Research 12: 3027-3063 (2011)
[c91]
[c90]Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein: Termination and Correctness Analysis of Cyclic Control. AAAI 2011
[c89]Siddharth Srivastava, Shlomo Zilberstein, Neil Immerman, Hector Geffner: Qualitative Numeric Planning. AAAI 2011
[c88]Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein, Tianjiao Zhang: Directed Search for Generalized Plans Using Classical Planners. ICAPS 2011
[c87]XiaoJian Wu, Akshat Kumar, Shlomo Zilberstein: Influence Diagrams with Memory States: Representation and Algorithms. ADT 2011: 306-319
[c86]Alan Carlin, Shlomo Zilberstein: Decentralized monitoring of distributed anytime algorithms. AAMAS 2011: 157-164
[c85]Akshat Kumar, Shlomo Zilberstein: Message-passing algorithms for large structured decentralized POMDPs. AAMAS 2011: 1087-1088
[c84]Feng Wu, Shlomo Zilberstein, Xiaoping Chen: Online Planning for Ad Hoc Autonomous Agent Teams. IJCAI 2011: 439-445
[c83]Akshat Kumar, Shlomo Zilberstein, Marc Toussaint: Scalable Multiagent Planning Using Probabilistic Inference. IJCAI 2011: 2140-2146
[c82]Akshat Kumar, Shlomo Zilberstein: Message-Passing Algorithms for Quadratic Programming Formulations of MAP Estimation. UAI 2011: 428-435
[i4]Claudia V. Goldman, Shlomo Zilberstein: Decentralized Control of Cooperative Systems: Categorization and Complexity Analysis. CoRR abs/1107.0047 (2011)
[i3]Claudia V. Goldman, Shlomo Zilberstein: Communication-Based Decomposition Mechanisms for Decentralized MDPs. CoRR abs/1111.0065 (2011)- 2010
[j32]Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein: Optimizing fixed-size stochastic controllers for POMDPs and decentralized POMDPs. Autonomous Agents and Multi-Agent Systems 21(3): 293-320 (2010)
[c81]Christopher Amato, Blai Bonet, Shlomo Zilberstein: Finite-State Controllers Based on Mealy Machines for Centralized and Decentralized POMDPs. AAAI 2010
[c80]Feng Wu, Shlomo Zilberstein, Xiaoping Chen: Trial-Based Dynamic Programming for Multi-Agent Planning. AAAI 2010
[c79]Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein: Computing Applicability Conditions for Plans with Loops. ICAPS 2010: 161-168
[c78]Feng Wu, Shlomo Zilberstein, Xiaoping Chen: Point-based policy generation for decentralized POMDPs. AAMAS 2010: 1307-1314
[c77]Akshat Kumar, Shlomo Zilberstein: Point-based backup for decentralized POMDPs: complexity and new algorithms. AAMAS 2010: 1315-1322
[c76]Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein: Merging example plans into generalized plans for non-deterministic environments. AAMAS 2010: 1341-1348
[c75]Abdel-Illah Mouaddib, Shlomo Zilberstein, Aurélie Beynier, Laurent Jeanpierre: A Decision-Theoretic Approach to Cooperative Control and Adjustable Autonomy. ECAI 2010: 971-972
[c74]Marek Petrik, Gavin Taylor, Ronald Parr, Shlomo Zilberstein: Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes. ICML 2010: 871-878
[c73]Akshat Kumar, Shlomo Zilberstein: MAP Estimation for Graphical Models by Likelihood Maximization. NIPS 2010: 1180-1188
[c72]Akshat Kumar, Shlomo Zilberstein: Anytime Planning for Decentralized POMDPs using Expectation Maximization. UAI 2010: 294-301
[c71]Feng Wu, Shlomo Zilberstein, Xiaoping Chen: Rollout Sampling Policy Iteration for Decentralized POMDPs. UAI 2010: 666-673
[i2]Marek Petrik, Gavin Taylor, Ronald Parr, Shlomo Zilberstein: Feature Selection Using Regularization in Approximate Linear Programs for Markov Decision Processes. CoRR abs/1005.1860 (2010)
[i1]Marek Petrik, Shlomo Zilberstein: Global Optimization for Value Function Approximation. CoRR abs/1006.2743 (2010)
2000 – 2009
- 2009
[j31]Raphen Becker, Alan Carlin, Victor R. Lesser, Shlomo Zilberstein: Analyzing Myopic Approaches for Multi-Agent Communication. Computational Intelligence 25(1): 31-50 (2009)
[j30]Daniel S. Bernstein, Christopher Amato, Eric A. Hansen, Shlomo Zilberstein: Policy Iteration for Decentralized Control of Markov Decision Processes. J. Artif. Intell. Res. (JAIR) 34: 89-132 (2009)
[j29]Marek Petrik, Shlomo Zilberstein: A Bilinear Programming Approach for Multiagent Planning. J. Artif. Intell. Res. (JAIR) 35: 235-274 (2009)
[c70]Christopher Amato, Jilles Steeve Dibangoye, Shlomo Zilberstein: Incremental Policy Generation for Finite-Horizon DEC-POMDPs. ICAPS 2009
[c69]Feng Wu, Shlomo Zilberstein, Xiaoping Chen: Multi-Agent Online Planning with Communication. ICAPS 2009
[c68]Akshat Kumar, Shlomo Zilberstein: Constraint-based dynamic programming for decentralized POMDPs with structured interactions. AAMAS (1) 2009: 561-568
[c67]Christopher Amato, Shlomo Zilberstein: Achieving goals in decentralized POMDPs. AAMAS (1) 2009: 593-600
[c66]Akshat Kumar, Shlomo Zilberstein: Dynamic Programming Approximations for Partially Observable Stochastic Games. FLAIRS Conference 2009
[c65]Martin Allen, Shlomo Zilberstein: Agent Influence and Intelligent Approximation in Multiagent Problems. IAT 2009: 311-314
[c64]Alan Carlin, Shlomo Zilberstein: Myopic and Non-myopic Communication under Partial Observability. IAT 2009: 331-338
[c63]Marek Petrik, Shlomo Zilberstein: Constraint relaxation in approximate linear programs. ICML 2009: 102
[c62]Akshat Kumar, Shlomo Zilberstein: Event-Detecting Multi-Agent MDPs: Complexity and Constant-Factor Approximations. IJCAI 2009: 201-207
[c61]Martin Allen, Shlomo Zilberstein: Complexity of Decentralized Control: Special Cases. NIPS 2009: 19-27
[c60]Marek Petrik, Shlomo Zilberstein: Robust Value Function Approximation Using Bilinear Programming. NIPS 2009: 1446-1454
[c59]Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein: Abstract Planning with Unknown Object Quantities and Properties. SARA 2009- 2008
[j28]Sven Seuken, Shlomo Zilberstein: Formal models and algorithms for decentralized decision making under uncertainty. Autonomous Agents and Multi-Agent Systems 17(2): 190-250 (2008)
[j27]Claudia V. Goldman, Shlomo Zilberstein: Communication-Based Decomposition Mechanisms for Decentralized MDPs. J. Artif. Intell. Res. (JAIR) 32: 169-202 (2008)
[c58]Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein: Learning Generalized Plans Using Abstract Counting. AAAI 2008: 991-997
[c57]Martin Allen, Marek Petrik, Shlomo Zilberstein: Interaction Structure and Dimensionality Reduction in Decentralized MDPs. AAAI 2008: 1440-1441
[c56]Marek Petrik, Shlomo Zilberstein: Learning Heuristic Functions through Approximate Linear Programming. ICAPS 2008: 248-255
[c55]Alan Carlin, Shlomo Zilberstein: Value-based observation compression for DEC-POMDPs. AAMAS (1) 2008: 501-508
[c54]Marek Petrik, Shlomo Zilberstein: A Successive Approximation Algorithm for Coordination Problems. ISAIM 2008
[c53]Siddharth Srivastava, Neil Immerman, Shlomo Zilberstein: Using Abstraction for Generalized Planning. ISAIM 2008- 2007
[j26]Claudia V. Goldman, Martin Allen, Shlomo Zilberstein: Learning to communicate in a decentralized environment. Autonomous Agents and Multi-Agent Systems 15(1): 47-90 (2007)
[j25]Daniel Szer, François Charpillet, Shlomo Zilberstein: Résolution optimale de DEC-POMDPs par recherche heuristique. Revue d'Intelligence Artificielle 21(1): 107-128 (2007)
[c52]Martin Allen, Shlomo Zilberstein: Agent Influence as a Predictor of Difficulty for Decentralized Problem-Solving. AAAI 2007: 688-693
[c51]Marek Petrik, Shlomo Zilberstein: Anytime Coordination Using Separable Bilinear Programs. AAAI 2007: 750-755
[c50]Marek Petrik, Shlomo Zilberstein: Average-Reward Decentralized Markov Decision Processes. IJCAI 2007: 1997-2002
[c49]Sven Seuken, Shlomo Zilberstein: Memory-Bounded Dynamic Programming for DEC-POMDPs. IJCAI 2007: 2009-2015
[c48]Ron Bekkerman, Shlomo Zilberstein, James Allan: Web Page Clustering Using Heuristic Search in the Web Graph. IJCAI 2007: 2280-2285
[c47]Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein: Solving POMDPs Using Quadratically Constrained Linear Programs. IJCAI 2007: 2418-2424
[c46]Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein: Optimizing Memory-Bounded Controllers for Decentralized POMDPs. UAI 2007: 1-8
[c45]Sven Seuken, Shlomo Zilberstein: Improved Memory-Bounded Dynamic Programming for Decentralized POMDPs. UAI 2007: 344-351- 2006
[j24]
[j23]Marek Petrik, Shlomo Zilberstein: Learning parallel portfolios of algorithms. Ann. Math. Artif. Intell. 48(1-2): 85-106 (2006)
[c44]Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein: Solving POMDPs using quadratically constrained linear programs. AAMAS 2006: 341-343
[c43]Christopher Amato, Daniel S. Bernstein, Shlomo Zilberstein: Finding Optimal POMDP Controllers Using Quadratically Constrained Linear Programs. ISAIM 2006
[c42]- 2005
[c41]
[c40]Raphen Becker, Victor R. Lesser, Shlomo Zilberstein: Analyzing Myopic Approaches for Multi-Agent Communication. IAT 2005: 550-557
[c39]Daniel S. Bernstein, Eric A. Hansen, Shlomo Zilberstein: Bounded Policy Iteration for Decentralized POMDPs. IJCAI 2005: 1287-1292
[c38]Martin Allen, Claudia V. Goldman, Shlomo Zilberstein: Language Learning in Multi-Agent Systems. IJCAI 2005: 1649-1650
[c37]Natalia N. Beliaeva, Shlomo Zilberstein: Generating Admissible Heuristics by Abstraction for Search in Stochastic Domains. SARA 2005: 14-29
[c36]Daniel Szer, François Charpillet, Shlomo Zilberstein: MAA*: A Heuristic Search Algorithm for Solving Decentralized POMDPs. UAI 2005: 576-590- 2004
[j22]Shlomo Zilberstein, Jana Koehler, Sven Koenig: The Fourteenth International Conference on Automated Planning and Scheduling (ICAPS-04). AI Magazine 25(4): 101-104 (2004)
[j21]Claudia V. Goldman, Shlomo Zilberstein: Decentralized Control of Cooperative Systems: Categorization and Complexity Analysis. J. Artif. Intell. Res. (JAIR) 22: 143-174 (2004)
[j20]Raphen Becker, Shlomo Zilberstein, Victor R. Lesser, Claudia V. Goldman: Solving Transition Independent Decentralized Markov Decision Processes. J. Artif. Intell. Res. (JAIR) 22: 423-455 (2004)
[j19]Andrew Arnt, Shlomo Zilberstein, James Allan, Abdel-Illah Mouaddib: Dynamic Composition of Information Retrieval Techniques. J. Intell. Inf. Syst. 23(1): 67-97 (2004)
[c35]Eric A. Hansen, Daniel S. Bernstein, Shlomo Zilberstein: Dynamic Programming for Partially Observable Stochastic Games. AAAI 2004: 709-715
[c34]Raphen Becker, Shlomo Zilberstein, Victor R. Lesser: Decentralized Markov Decision Processes with Event-Driven Interactions. AAMAS 2004: 302-309
[c33]Claudia V. Goldman, Martin Allen, Shlomo Zilberstein: Decentralized Language Learning through Acting. AAMAS 2004: 1006-1013
[c32]Martin Allen, Shlomo Zilberstein: Automated Conversion and Simplification of Plan Representations. AAMAS 2004: 1272-1273
[c31]Andrew Arnt, Shlomo Zilberstein: Attribute Measurement Policies for Time and Cost Sensitive Classification. ICDM 2004: 323-326
[c30]Maurício Marengoni, Allen R. Hanson, Shlomo Zilberstein, Edward M. Riseman: Cost and Information-Driven Algorithm Selection for Vision Systems. ICIAR (1) 2004: 519-529
[c29]Jianbin Tan, George S. Avrunin, Lori A. Clarke, Shlomo Zilberstein, Stefan Leue: Heuristic-guided counterexample search in FLAVERS. SIGSOFT FSE 2004: 201-210
[c28]
[e1]Shlomo Zilberstein, Jana Koehler, Sven Koenig (Eds.): Proceedings of the Fourteenth International Conference on Automated Planning and Scheduling (ICAPS 2004), June 3-7 2004, Whistler, British Columbia, Canada. AAAI 2004, ISBN 1-57735-200-9- 2003
[j18]Shlomo Zilberstein, François Charpillet, Philippe Chassaing: Optimal Sequencing of Contract Algorithms. Ann. Math. Artif. Intell. 39(1-2): 1-18 (2003)
[j17]Maurício Marengoni, Allen R. Hanson, Shlomo Zilberstein, Edward M. Riseman: Decision Making and Uncertainty Management in a 3D Reconstruction System. IEEE Trans. Pattern Anal. Mach. Intell. 25(7): 852-858 (2003)
[c27]Raphen Becker, Shlomo Zilberstein, Victor R. Lesser, Claudia V. Goldman: Transition-independent decentralized markov decision processes. AAMAS 2003: 41-48
[c26]Claudia V. Goldman, Shlomo Zilberstein: Optimizing information exchange in cooperative multi-agent systems. AAMAS 2003: 137-144
[c25]Daniel S. Bernstein, Lev Finkelstein, Shlomo Zilberstein: Contract Algorithms and Robots on Rays: Unifying Two Scheduling Problems. IJCAI 2003: 1211-1217
[c24]Max Horstmann, Shlomo Zilberstein: Automated Generation of Understandable Contingency Plans. IJCAI 2003: 1518-1519
[c23]Daniel S. Bernstein, Zhengzhu Feng, Brian Neil Levine, Shlomo Zilberstein: Adaptive Peer Selection. IPTPS 2003: 237-246
[c22]Zhengzhu Feng, Eric A. Hansen, Shlomo Zilberstein: Symbolic Generalization for On-line Planning. UAI 2003: 209-216
[c21]Andrew Arnt, Shlomo Zilberstein: Learning to Perform Moderation in Online Forums. Web Intelligence 2003: 637-641- 2002
[j16]Daniel S. Bernstein, Robert Givan, Neil Immerman, Shlomo Zilberstein: The Complexity of Decentralized Control of Markov Decision Processes. Math. Oper. Res. 27(4): 819-840 (2002)
[c20]Daniel S. Bernstein, Theodore J. Perkins, Shlomo Zilberstein, Lev Finkelstein: Scheduling Contract Algorithms on Multiple Processors. AAAI/IAAI 2002: 702-706- 2001
[j15]Eric Horvitz, Shlomo Zilberstein: Computational tradeoffs under bounded resources. Artif. Intell. 126(1-2): 1-4 (2001)
[j14]Eric A. Hansen, Shlomo Zilberstein: Monitoring and control of anytime algorithms: A dynamic programming approach. Artif. Intell. 126(1-2): 139-157 (2001)
[j13]Eric A. Hansen, Shlomo Zilberstein: LAO*: A heuristic search algorithm that finds solutions with loops. Artif. Intell. 129(1-2): 35-62 (2001)
[j12]
[c19]Ping Xuan, Victor R. Lesser, Shlomo Zilberstein: Communication decisions in multi-agent cooperation: model and experiments. Agents 2001: 616-623
[c18]Shlomo Zilberstein, Richard Washington, Daniel S. Bernstein, Abdel-Illah Mouaddib: Decision-Theoretic Control of Planetary Rovers. Advances in Plan-Based Control of Robotic Agents 2001: 270-289
[c17]Stéphane Cardon, Abdel-Illah Mouaddib, Shlomo Zilberstein, Richard Washington: Adaptive Control of Acyclic Progressive Processing Task Structures. IJCAI 2001: 701-706- 2000
[j11]David J. Musliner, Barney Pell, Wolff Dobson, Kai Goebel, Gautam Biswas, Sheila A. McIlraith, Giuseppina C. Gini, Sven Koenig, Shlomo Zilberstein, Weixiong Zhang: Reports on the AAAI Spring Symposia (March 1999). AI Magazine 21(2): 79-84 (2000)
[j10]Shlomo Zilberstein, Abdel-Illah Mouaddib: Optimal scheduling of progressive processing tasks. Int. J. Approx. Reasoning 25(3): 169-186 (2000)
[j9]Joshua Grass, Shlomo Zilberstein: A Value-Driven System for Autonomous Information Gathering. J. Intell. Inf. Syst. 14(1): 5-27 (2000)
[c16]Ping Xuan, Victor R. Lesser, Shlomo Zilberstein: Communication in Multi-Agent Markov Decision Processes. ICMAS 2000: 467-468
[c15]Shlomo Zilberstein, Abdel-Illah Mouaddib, Andrew Arnt: Dynamic Scheduling of Progressive Processing Plans. PuK 2000
[c14]Daniel S. Bernstein, Shlomo Zilberstein, Neil Immerman: The Complexity of Decentralized Control of Markov Decision Processes. UAI 2000: 32-37
1990 – 1999
- 1999
[c13]Maurício Marengoni, Allen R. Hanson, Shlomo Zilberstein, Edward M. Riseman: Control in a 3D Reconstruction System using Selective Perception. ICCV 1999: 1229-1236
[c12]Shlomo Zilberstein, François Charpillet, Philippe Chassaing: Real-Time Problem-Solving with Contract Algorithms. IJCAI 1999: 1008-1015
[c11]Shlomo Zilberstein, Abdel-Illah Mouaddib: Reactive Control of Dynamic Progressive Processing. IJCAI 1999: 1268-1273- 1998
[c10]Eric A. Hansen, Shlomo Zilberstein: Heuristic Search in Cyclic AND/OR Graphs. AAAI/IAAI 1998: 412-418
[c9]Abdel-Illah Mouaddib, Shlomo Zilberstein: Optimal Scheduling of Dynamic Progressive Processing. ECAI 1998: 499-503- 1997
[c8]Abdel-Illah Mouaddib, Shlomo Zilberstein: Handling Duration Uncertainty in Meta-Level Control of Progressive Processing. IJCAI 1997: 1201-1207- 1996
[j8]Shlomo Zilberstein, Stuart J. Russell: Optimal Composition of Real-Time Systems. Artif. Intell. 82(1-2): 181-213 (1996)
[j7]Shlomo Zilberstein: Using Anytime Algorithms in Intelligent Systems. AI Magazine 17(3): 73-83 (1996)
[j6]Shlomo Zilberstein: Resource-bounded sensing and planning in autonomous systems. Auton. Robots 3(1): 31-48 (1996)
[j5]Shlomo Zilberstein: Resource-Bounded Reasoning in Intelligent Systems. ACM Comput. Surv. 28(4es): 15 (1996)
[j4]Joshua Grass, Shlomo Zilberstein: Anytime Algorithm Development Tools. SIGART Bulletin 7(2): 20-27 (1996)
[j3]Eric A. Hansen, Shlomo Zilberstein: Monitoring Anytime Algorithms. SIGART Bulletin 7(2): 28-33 (1996)
[c7]Eric A. Hansen, Shlomo Zilberstein: Monitoring the Progress of Anytime Problem-Solving. AAAI/IAAI, Vol. 2 1996: 1229-1234
[c6]Eric A. Hansen, Andrew G. Barto, Shlomo Zilberstein: Reinforcement Learning for Mixed Open-loop and Closed-loop Control. NIPS 1996: 1026-1032- 1995
[j2]Shlomo Zilberstein: Operational Rationality through Compilation of Anytime Algorithms. AI Magazine 16(2): 79-80 (1995)
[j1]
[c5]
[c4]- 1994
[c3]Shlomo Zilberstein: Meta-Level Control of Approximate Reasoning: A Decision Theoretic Approach. ISMIS 1994: 114-123- 1993
[c2]Shlomo Zilberstein, Stuart J. Russell: Anytime Sensing Planning and Action: A Practical Model for Robot Control. IJCAI 1993: 1402-1407- 1991
[c1]
Coauthor Index
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last updated on 2013-02-02 19:51 CET by the dblp team



