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Leslie Pack Kaelbling Vis

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*2009
77EEMichael G. Ross, Leslie Pack Kaelbling: Segmentation According to Natural Examples: Learning Static Segmentation from Motion Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 31(4): 661-676 (2009)
2008
76 Brian Milch, Luke S. Zettlemoyer, Kristian Kersting, Michael Haimes, Leslie Pack Kaelbling: Lifted Probabilistic Inference with Counting Formulas. AAAI 2008: 1062-1068
75EELuke S. Zettlemoyer, Brian Milch, Leslie Pack Kaelbling: Multi-Agent Filtering with Infinitely Nested Beliefs. NIPS 2008: 1905-1912
74EEPaulina Varshavskaya, Leslie Pack Kaelbling, Daniela Rus: Automated Design of Adaptive Controllers for Modular Robots using Reinforcement Learning. I. J. Robotic Res. 27(3-4): 505-526 (2008)
2007
73 Natalia Hernandez-Gardiol, Leslie Pack Kaelbling: Action-Space Partitioning for Planning. AAAI 2007: 980-986
72EEHan-Pang Chiu, Leslie Pack Kaelbling, Tomás Lozano-Pérez: Virtual Training for Multi-View Object Class Recognition. CVPR 2007
71EEKaijen Hsiao, Leslie Pack Kaelbling, Tomás Lozano-Pérez: Grasping POMDPs. ICRA 2007: 4685-4692
70EEDaniel M. Roy, Leslie Pack Kaelbling: Efficient Bayesian Task-Level Transfer Learning. IJCAI 2007: 2599-2604
69EEAshwin Deshpande, Brian Milch, Luke S. Zettlemoyer, Leslie Pack Kaelbling: Learning Probabilistic Relational Dynamics for Multiple Tasks. Probabilistic, Logical and Relational Learning - A Further Synthesis 2007
68EELuke S. Zettlemoyer, Hanna M. Pasula, Leslie Pack Kaelbling: Logical Particle Filtering. Probabilistic, Logical and Relational Learning - A Further Synthesis 2007
67EESarah Finney, Leslie Pack Kaelbling, Tomás Lozano-Pérez: Predicting Partial Paths from Planning Problem Parameters. Robotics: Science and Systems 2007
66EEHanna M. Pasula, Luke S. Zettlemoyer, Leslie Pack Kaelbling: Learning Symbolic Models of Stochastic Domains. J. Artif. Intell. Res. (JAIR) 29: 309-352 (2007)
2005
65 Leslie Pack Kaelbling, Alessandro Saffiotti: IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30-August 5, 2005 Professional Book Center 2005
64 Luke S. Zettlemoyer, Hanna Pasula, Leslie Pack Kaelbling: Learning Planning Rules in Noisy Stochastic Worlds. AAAI 2005: 911-918
63 Michael G. Ross, Leslie Pack Kaelbling: Learning Static Object Segmentation from Motion Segmentation. AAAI 2005: 956-961
62EEYu-Han Chang, Leslie Pack Kaelbling: Hedged learning: regret-minimization with learning experts. ICML 2005: 121-128
2004
61EEYu-Han Chang, Tracey Ho, Leslie Pack Kaelbling: Mobilized Ad-Hoc Networks: A Reinforcement Learning Approach. ICAC 2004: 240-247
60 Hanna Pasula, Luke S. Zettlemoyer, Leslie Pack Kaelbling: Learning Probabilistic Relational Planning Rules. ICAPS 2004: 73-82
59EEGeorgios Theocharous, Kevin Murphy, Leslie Pack Kaelbling: Representing Hierarchical POMDPs as DBNs for Multi-scale Robot Localization. ICRA 2004: 1045-1051
58 Hanna Pasula, Luke S. Zettlemoyer, Leslie Pack Kaelbling: Learning Probabilistic Relational Planning Rules. KR 2004: 683-691
2003
57EEYu-Han Chang, Tracey Ho, Leslie Pack Kaelbling: All learning is Local: Multi-agent Learning in Global Reward Games. NIPS 2003
56EEGeorgios Theocharous, Leslie Pack Kaelbling: Approximate Planning in POMDPs with Macro-Actions. NIPS 2003
55EENatalia Hernandez-Gardiol, Leslie Pack Kaelbling: Envelope-based Planning in Relational MDPs. NIPS 2003
54EEBrett R. Fajen, William H. Warren, Selim Temizer, Leslie Pack Kaelbling: A Dynamical Model of Visually-Guided Steering, Obstacle Avoidance, and Route Selection. International Journal of Computer Vision 54(1-3): 13-34 (2003)
2002
53 Terran Lane, Leslie Pack Kaelbling: Nearly Deterministic Abstractions of Markov Decision Processes. AAAI/IAAI 2002: 260-266
52 William D. Smart, Leslie Pack Kaelbling: Effective Reinforcement Learning for Mobile Robots. ICRA 2002: 3404-3410
51 Sarah Finney, Peter P. Wakker, Leslie Pack Kaelbling, Tim Oates: The Thing that we Tried Didn't Work very Well: Deictic Representation in Reinforcement Learning. UAI 2002: 154-161
50EEHagit Shatkay, Leslie Pack Kaelbling: Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap. J. Artif. Intell. Res. (JAIR) 16: 167-207 (2002)
2001
49EEYu-Han Chang, Leslie Pack Kaelbling: Playing is believing: The role of beliefs in multi-agent learning. NIPS 2001: 1483-1490
48EELeonid Peshkin, Nicolas Meuleau, Leslie Pack Kaelbling: Learning Policies with External Memory CoRR cs.LG/0103003: (2001)
47EELeonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, Leslie Pack Kaelbling: Learning to Cooperate via Policy Search CoRR cs.LG/0105032: (2001)
2000
46 Luis E. Ortiz, Leslie Pack Kaelbling: Sampling Methods for Action Selection in Influence Diagrams. AAAI/IAAI 2000: 378-385
45 Peter Ju, Leslie Pack Kaelbling, Yoram Singer: State-based Classification of Finger Gestures from Electromyographic Signals. ICML 2000: 439-446
44 William D. Smart, Leslie Pack Kaelbling: Practical Reinforcement Learning in Continuous Spaces. ICML 2000: 903-910
43EELuis E. Ortiz, Leslie Pack Kaelbling: Adaptive Importance Sampling for Estimation in Structured Domains. UAI 2000: 446-454
42EELeonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, Leslie Pack Kaelbling: Learning to Cooperate via Policy Search. UAI 2000: 489-496
1999
41 Leonid Peshkin, Nicolas Meuleau, Leslie Pack Kaelbling: Learning Policies with External Memory. ICML 1999: 307-314
40 Andrew W. Moore, Leemon C. Baird III, Leslie Pack Kaelbling: Multi-Value-Functions: Efficient Automatic Action Hierarchies for Multiple Goal MDPs. IJCAI 1999: 1316-1323
39EENicolas Meuleau, Kee-Eung Kim, Leslie Pack Kaelbling, Anthony R. Cassandra: Solving POMDPs by Searching the Space of Finite Policies. UAI 1999: 417-426
38EENicolas Meuleau, Leonid Peshkin, Kee-Eung Kim, Leslie Pack Kaelbling: Learning Finite-State Controllers for Partially Observable Environments. UAI 1999: 427-436
37EELuis E. Ortiz, Leslie Pack Kaelbling: Accelerating EM: An Empirical Study. UAI 1999: 512-521
1998
36 William D. Smart, Leslie Pack Kaelbling: A Framework for Reinforcement Learning on Real Robots. AAAI/IAAI 1998: 1202
35 Nicolas Meuleau, Milos Hauskrecht, Kee-Eung Kim, Leonid Peshkin, Leslie Pack Kaelbling, Thomas Dean, Craig Boutilier: Solving Very Large Weakly Coupled Markov Decision Processes. AAAI/IAAI 1998: 165-172
34 Hagit Shatkay, Leslie Pack Kaelbling: Heading in the Right Direction. ICML 1998: 531-539
33EEMilos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas Dean, Craig Boutilier: Hierarchical Solution of Markov Decision Processes using Macro-actions. UAI 1998: 220-229
32EELeslie Pack Kaelbling, Michael L. Littman, Anthony R. Cassandra: Planning and Acting in Partially Observable Stochastic Domains. Artif. Intell. 101(1-2): 99-134 (1998)
1997
31 Hagit Shatkay, Leslie Pack Kaelbling: Learning Topological Maps with Weak Local Odometric Information. IJCAI (2) 1997: 920-929
1996
30 Sridhar Mahadevan, Leslie Pack Kaelbling: The National Science Foundation Workshop on Reinforcement Learning. AI Magazine 17(4): 89-93 (1996)
29EELeslie Pack Kaelbling, Michael L. Littman, Andrew W. Moore: Reinforcement Learning: A Survey CoRR cs.AI/9605103: (1996)
28 Leslie Pack Kaelbling, Michael L. Littman, Andrew P. Moore: Reinforcement Learning: A Survey. J. Artif. Intell. Res. (JAIR) 4: 237-285 (1996)
27 Leslie Pack Kaelbling: Introduction. Machine Learning 22(1-3): 7-9 (1996)
1995
26 Michael L. Littman, Anthony R. Cassandra, Leslie Pack Kaelbling: Learning Policies for Partially Observable Environments: Scaling Up. ICML 1995: 362-370
25 Leslie Pack Kaelbling, Michael L. Littman, Anthony R. Cassandra: Partially Observable Markov Decision Processes for Artificial Intelligence. KI 1995: 1-17
24 Leslie Pack Kaelbling, Michael L. Littman, Anthony R. Cassandra: Partially Observable Markov Decision Processes for Artificial Intelligence. Reasoning with Uncertainty in Robotics 1995: 146-163
23EEMichael L. Littman, Thomas Dean, Leslie Pack Kaelbling: On the Complexity of Solving Markov Decision Problems. UAI 1995: 394-402
22EEKenneth Basye, Thomas Dean, Leslie Pack Kaelbling: Learning Dynamics: System Identification for Perceptually Challenged Agents. Artif. Intell. 72(1-2): 139-171 (1995)
21EEStanley J. Rosenschein, Leslie Pack Kaelbling: A Situated View of Representation and Control. Artif. Intell. 73(1-2): 149-173 (1995)
20EEThomas Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson: Planning under Time Constraints in Stochastic Domains. Artif. Intell. 76(1-2): 35-74 (1995)
19 Thomas 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)
1994
18 Anthony R. Cassandra, Leslie Pack Kaelbling, Michael L. Littman: Acting Optimally in Partially Observable Stochastic Domains. AAAI 1994: 1023-1028
17 Leslie Pack Kaelbling: Learning and intelligent Agents. ECAI 1994: 813
16 Leslie Pack Kaelbling: Associative Reinforcement Learning: Functions in k-DNF. Machine Learning 15(3): 279-298 (1994)
15 Leslie Pack Kaelbling: Associative Reinforcement Learning: A Generate and Test Algorithm. Machine Learning 15(3): 299-319 (1994)
1993
14 Thomas Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson: Planning With Deadlines in Stochastic Domains. AAAI 1993: 574-579
13 Leslie Pack Kaelbling: Hierarchical Learning in Stochastic Domains: Preliminary Results. ICML 1993: 167-173
12 Leslie Pack Kaelbling: Learning to Achieve Goals. IJCAI 1993: 1094-1099
11EEThomas Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson: Deliberation Scheduling for Time-Critical Sequential Decision Making. UAI 1993: 309-316
1992
10 Thomas 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
1991
9 David Chapman, Leslie Pack Kaelbling: Input Generalization in Delayed Reinforcement Learning: An Algorithm and Performance Comparisons. IJCAI 1991: 726-731
8EELeslie Pack Kaelbling: Foundations of learning in autonomous agents. Robotics and Autonomous Systems 8(1-2): 131-144 (1991)
7 Leslie Pack Kaelbling: A Situated-Automata Approach to the Design of Embedded Agents. SIGART Bulletin 2(4): 85-88 (1991)
1990
6 Leslie Pack Kaelbling: Learning Functions in k-DNF from Reinforcement. ML 1990: 162-169
1989
5 Leslie Pack Kaelbling: Intelligent Robots in the Real World. IFIP Congress 1989: 932-933
4 Leslie Pack Kaelbling: A Formal Framework for Learning in Embedded Systems. ML 1989: 350-353
1988
3 Leslie Pack Kaelbling: Goals as Parallel Program Specifications. AAAI 1988: 60-64
2 Leslie Pack Kaelbling: Artificial Intelligence and Robotics. COMPCON 1988: 59-63
1986
1 Stanley J. Rosenschein, Leslie Pack Kaelbling: The Synthesis of Digital Machines With Provable Epistemic Properties. TARK 1986: 83-98

Coauthor Index

1Dana Angluin [10] [19]
2Shlomo Argamon (Shlomo Argamon-Engelson, Sean P. Engelson) [10] [19]
3Leemon C. Baird III [40]
4Kenneth Basye [10] [19] [22]
5Craig Boutilier [33] [35]
6Anthony R. Cassandra [18] [24] [25] [26] [32] [39]
7Yu-Han Chang [49] [57] [61] [62]
8David Chapman [9]
9Han-Pang Chiu [72]
10Thomas Dean [10] [11] [14] [19] [20] [22] [23] [33] [35]
11Ashwin Deshpande [69]
12Brett R. Fajen [54]
13Sarah Finney [51] [67]
14Michael Haimes [76]
15Milos Hauskrecht [33] [35]
16Natalia Hernandez-Gardiol [55] [73]
17Tracey Ho [57] [61]
18Kaijen Hsiao [71]
19Peter Ju [45]
20Kristian Kersting [76]
21Kee-Eung Kim [35] [38] [39] [42] [47]
22Jak Kirman [11] [14] [20]
23Evangelos Kokkevis [10] [19]
24Terran Lane [53]
25Michael L. Littman [18] [23] [24] [25] [26] [28] [29] [32]
26Tomás Lozano-Pérez [67] [71] [72]
27Sridhar Mahadevan [30]
28Oded Maron [10] [19]
29Nicolas Meuleau [33] [35] [38] [39] [41] [42] [47] [48]
30Brian Milch [69] [75] [76]
31Andrew P. Moore [28]
32Andrew W. Moore [29] [40]
33Kevin Murphy [59]
34Ann E. Nicholson [11] [14] [20]
35Tim Oates [51]
36Luis E. Ortiz [37] [43] [46]
37Hanna M. Pasula (Hanna Pasula) [58] [60] [64] [66] [68]
38Leonid Peshkin [35] [38] [41] [42] [47] [48]
39Stanley J. Rosenschein [1] [21]
40Michael G. Ross [63] [77]
41Daniel M. Roy [70]
42Daniela Rus [74]
43Alessandro Saffiotti [65]
44Hagit Shatkay [31] [34] [50]
45Yoram Singer [45]
46William D. Smart [36] [44] [52]
47Selim Temizer [54]
48Georgios Theocharous [56] [59]
49Paulina Varshavskaya [74]
50Peter P. Wakker [51]
51William H. Warren [54]
52Luke S. Zettlemoyer [58] [60] [64] [66] [68] [69] [75] [76]

Colors in the list of coauthors

Copyright © Tue Nov 3 08:52:44 2009 by Michael Ley (ley@uni-trier.de)