Thomas L. Dean

Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier: Hierarchical Solution of Markov Decision Processes using Macro-actions. CoRR abs/1301.7381 (2013)

Thomas L. Dean, Robert Givan, Sonia M. Leach: Model Reduction Techniques for Computing Approximately Optimal Solutions for Markov Decision Processes. CoRR abs/1302.1533 (2013)

Michael L. Littman, Thomas L. Dean, Leslie Pack Kaelbling: On the Complexity of Solving Markov Decision Problems. CoRR abs/1302.4971 (2013)

Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson: Deliberation Scheduling for Time-Critical Sequential Decision Making. CoRR abs/1303.1491 (2013)

Kenneth Basye, Thomas L. Dean: Map Learning with Indistinguishable Locations. CoRR abs/1304.1492 (2013)

Thomas L. Dean, Keiji Kanazawa: Probabilistic Causal Reasoning. CoRR abs/1304.2348 (2013)

Thomas L. Dean, Greg Corrado, Jonathon Shlens: Three Controversial Hypotheses Concerning Computation in the Primate Cortex. AAAI 2012

Joel Young, Thomas L. Dean: Exploiting Locality in Searching the Web. CoRR abs/1212.2509 (2012)

Craig Boutilier, Thomas L. Dean, Steve Hanks: Decision-Theoretic Planning: Structural Assumptions and Computational Leverage. CoRR abs/1105.5460 (2011)

Thomas L. Dean, Richard Washington, Greg Corrado: Recursive Sparse, Spatiotemporal Coding. ISM 2009: 645-650

Thomas L. Dean, Glenn Carroll, Richard Washington: On the Prospects for Building a Working Model of the Visual Cortex. AAAI 2007: 1597-1600

Robert Givan, Thomas L. Dean, Matthew Greig: Equivalence notions and model minimization in Markov decision processes. Artif. Intell. 147(1-2): 163-223 (2003)

Kee-Eung Kim, Thomas L. Dean: Solving factored MDPs using non-homogeneous partitions. Artif. Intell. 147(1-2): 225-251 (2003)

Joel Young, Thomas L. Dean: Exploiting Locality in Searching the Web. UAI 2003: 608-615

Kee-Eung Kim, Thomas L. Dean: Solving Factored MDPs with Large Action Space Using Algebraic Decision Diagrams. PRICAI 2002: 80-89

Kee-Eung Kim, Thomas L. Dean: Solving Factored MDPs via Non-Homogeneous Partitioning. IJCAI 2001: 683-689

Robert Givan, Sonia M. Leach, Thomas L. Dean: Bounded-parameter Markov decision processes. Artif. Intell. 122(1-2): 71-109 (2000)

Kee-Eung Kim, Thomas L. Dean, Nicolas Meuleau: Approximate Solutions to Factored Markov Decision Processes via Greedy Search in the Space of Finite State Controllers. AIPS 2000: 323-330

Craig Boutilier, Thomas L. Dean, Steve Hanks: Decision-Theoretic Planning: Structural Assumptions and Computational Leverage. J. Artif. Intell. Res. (JAIR) 11: 1-94 (1999)

Nicolas Meuleau, Milos Hauskrecht, Kee-Eung Kim, Leonid Peshkin, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier: Solving Very Large Weakly Coupled Markov Decision Processes. AAAI/IAAI 1998: 165-172

Thomas L. Dean, Robert Givan, Kee-Eung Kim: Solving Stochastic Planning Problems with Large State and Action Spaces. AIPS 1998: 102-110

Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier: Hierarchical Solution of Markov Decision Processes using Macro-actions. UAI 1998: 220-229

Jon Doyle, Thomas L. Dean: Strategic Directions in Artificial Intelligence (Reprint). AI Magazine 18(1): 87-101 (1997)

Kenneth Basye, Thomas L. Dean, Jeffrey Scott Vitter: Coping with Uncertainty in Map Learning. Machine Learning 29(1): 65-88 (1997)

Thomas L. Dean, Subbarao Kambhampati: Planning and Scheduling. The Computer Science and Engineering Handbook 1997: 614-636

Thomas L. Dean, Robert Givan: Model Minimization in Markov Decision Processes. AAAI/IAAI 1997: 106-111

Robert Givan, Sonia M. Leach, Thomas L. Dean: Bounded Parameter Markov Decision Processes. ECP 1997: 234-246

Robert Givan, Thomas L. Dean: Model Minimization, Regression, and Propositional STRIPS Planning. IJCAI 1997: 1163-1168

Thomas L. Dean, Robert Givan, Sonia M. Leach: Model Reduction Techniques for Computing Approximately Optimal Solutions for Markov Decision Processes. UAI 1997: 124-131

Jon Doyle, Thomas L. Dean: Strategic Directions in Artificial Intelligence. ACM Comput. Surv. 28(4): 653-670 (1996)

Moises Lejter, Thomas L. Dean: A Framework for the Development of Multiagent Architectures. IEEE Expert 11(6): 47-59 (1996)

Bart Selman, Rodney A. Brooks, Thomas L. Dean, Eric Horvitz, Tom M. Mitchell, Nils J. Nilsson: Challenge Problems for Artificial Intelligence (Panel Statements). AAAI/IAAI, Vol. 2 1996: 1340-1345

Thomas L. Dean, James F. Allen, Yiannis Aloimonos: Artificial intelligence - theory and practice. Benjamin/Cummings 1995, isbn 978-0-8053-2547-8, pp. I-XXI, 1-563

Kenneth Basye, Thomas L. Dean, Leslie Pack Kaelbling: Learning Dynamics: System Identification for Perceptually Challenged Agents. Artif. Intell. 72(1-2): 139-171 (1995)

Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson: Planning under Time Constraints in Stochastic Domains. Artif. Intell. 76(1-2): 35-74 (1995)

Thomas L. Dean, Dana Angluin, Kenneth Basye, Sean P. Engelson, Leslie Pack Kaelbling, Evangelos Kokkevis, Oded Maron: Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning. Machine Learning 18(1): 81-108 (1995)

Michael L. Littman, Thomas L. Dean, Leslie Pack Kaelbling: On the Complexity of Solving Markov Decision Problems. UAI 1995: 394-402

Mark S. Boddy, Thomas L. Dean: Deliberation Scheduling for Problem Solving in Time-Constrained Environments. Artif. Intell. 67(2): 245-285 (1994)

Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson: Planning With Deadlines in Stochastic Domains. AAAI 1993: 574-579

Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson: Deliberation Scheduling for Time-Critical Sequential Decision Making. UAI 1993: 309-316

Kenneth Basye, Thomas L. Dean, Jak Kirman, Moises Lejter: A Decision-Theoretic Approach to Planning, Perception, and Control. IEEE Expert 7(4): 58-65 (1992)

Thomas L. Dean, Dana Angluin, Kenneth Basye, Sean P. Engelson, Leslie Pack Kaelbling, Evangelos Kokkevis, Oded Maron: Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning. AAAI 1992: 208-214

Thomas L. Dean, Kathleen McKeown (Eds.): Proceedings of the 9th National Conference on Artificial Intelligence, Anaheim, CA, USA, July 14-19, 1991, Volume 1. AAAI Press / The MIT Press 1991, isbn 0-262-51059-6

Thomas L. Dean, Kathleen McKeown (Eds.): Proceedings of the 9th National Conference on Artificial Intelligence, Anaheim, CA, USA, July 14-19, 1991, Volume 2. AAAI Press / The MIT Press 1991, isbn 0-262-51059-6

Thomas L. Dean, Kenneth Basye, Robert Chekaluk, Seungseok Hyun, Moises Lejter, Margaret Randazza: Coping with Uncertainty in a Control System for Navigation and Exploration. AAAI 1990: 1010-1015

Kenneth Basye, Thomas L. Dean, Jeffrey Scott Vitter: Coping With Uncertainty in Map Learning. IJCAI 1989: 663-668

Mark S. Boddy, Thomas L. Dean: Solving Time-Dependent Planning Problems. IJCAI 1989: 979-984

Keiji Kanazawa, Thomas L. Dean: A Model for Projection and Action. IJCAI 1989: 985-990

Kenneth Basye, Thomas L. Dean: Map Learning with Indistinguishable Locations. UAI 1989: 331-342

Thomas L. Dean, Mark S. Boddy: Reasoning About Partially Ordered Events. Artif. Intell. 36(3): 375-399 (1988)

Thomas L. Dean, Mark S. Boddy: An Analysis of Time-Dependent Planning. AAAI 1988: 49-54

Thomas L. Dean, Keiji Kanazawa: Probabilistic Temporal Reasoning. AAAI 1988: 524-529

Thomas L. Dean, Keiji Kanazawa: Probabilistic causal reasoning. UAI 1988: 27-42

Thomas L. Dean, Drew V. McDermott: Temporal Data Base Management. Artif. Intell. 32(1): 1-55 (1987)

Thomas L. Dean, Mark S. Boddy: Incremental Causal Reasoning. AAAI 1987: 196-201