Leslie Pack Kaelbling

	2011
96		Truong-Huy Dinh Nguyen, David Hsu, Wee Sun Lee, Tze-Yun Leong, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Andrew Haydn Grant: CAPIR: Collaborative Action Planning with Intention Recognition. AIIDE 2011
95		Leslie Pack Kaelbling, Tomás Lozano-Pérez: Hierarchical task and motion planning in the now. ICRA 2011: 1470-1477
94		David Wingate, Noah D. Goodman, Daniel M. Roy, Leslie Pack Kaelbling, Joshua B. Tenenbaum: Bayesian Policy Search with Policy Priors. IJCAI 2011: 1565-1570
93		Jennifer L. Barry, Leslie Pack Kaelbling, Tomás Lozano-Pérez: DetH*: Approximate Hierarchical Solution of Large Markov Decision Processes. IJCAI 2011: 1928-1935
92		Kaijen Hsiao, Leslie Pack Kaelbling, Tomás Lozano-Pérez: Robust grasping under object pose uncertainty. Auton. Robots 31(2-3): 253-268 (2011)
91		Leslie Pack Kaelbling, Hagit Shatkay: Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap CoRR abs/1106.0680: (2011)
90		Leslie Pack Kaelbling, Hanna M. Pasula, Luke S. Zettlemoyer: Learning Symbolic Models of Stochastic Domains CoRR abs/1110.2211: (2011)
	2010
89		Leslie Pack Kaelbling, Tomás Lozano-Pérez: Hierarchical Planning in the Now. Bridging the Gap Between Task and Motion Planning 2010
88		Leslie Pack Kaelbling: Intelligent Interaction with the Real World. ECML/PKDD (1) 2010: 3
87		Han-Pang Chiu, Huan Liu, Leslie Pack Kaelbling, Tomás Lozano-Pérez: Class-specific grasping of 3D objects from a single 2D image. IROS 2010: 579-585
86		Robert Platt Jr., Russ Tedrake, Leslie Pack Kaelbling, Tomás Lozano-Pérez: Belief space planning assuming maximum likelihood observations. Robotics: Science and Systems 2010
85		Kaijen Hsiao, Leslie Pack Kaelbling, Tomás Lozano-Pérez: Task-Driven Tactile Exploration. Robotics: Science and Systems 2010
84		David W. Aha, Mark S. Boddy, Vadim Bulitko, Artur S. d'Avila Garcez, Prashant Doshi, Stefan Edelkamp, Christopher W. Geib, Piotr J. Gmytrasiewicz, Robert P. Goldman, Pascal Hitzler, Charles L. Isbell, Darsana P. Josyula, Leslie Pack Kaelbling, Kristian Kersting, Maithilee Kunda, Luís C. Lamb, Bhaskara Marthi, Keith McGreggor, Vivi Nastase, Gregory Provan, Anita Raja, Ashwin Ram, Mark O. Riedl, Stuart J. Russell, Ashish Sabharwal, Jan-Georg Smaus, Gita Sukthankar, Karl Tuyls, Ron van der Meyden, Alon Y. Halevy, Lilyana Mihalkova, Sriraam Natarajan: Reports of the AAAI 2010 Conference Workshops. AI Magazine 31(4): 95-108 (2010)
83		Emma Brunskill, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy: Planning in partially-observable switching-mode continuous domains. Ann. Math. Artif. Intell. 58(3-4): 185-216 (2010)
82		Leslie Pack Kaelbling: Technical perspective - New bar set for intelligent vehicles. Commun. ACM 53(4): 98 (2010)
	2009
81		Han-Pang Chiu, Leslie Pack Kaelbling, Tomás Lozano-Pérez: Learning to generate novel views of objects for class recognition. Computer Vision and Image Understanding 113(12): 1183-1197 (2009)
80		Michael 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
79		Brian Milch, Luke S. Zettlemoyer, Kristian Kersting, Michael Haimes, Leslie Pack Kaelbling: Lifted Probabilistic Inference with Counting Formulas. AAAI 2008: 1062-1068
78		Emma Brunskill, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy: Continuous-State POMDPs with Hybrid Dynamics. ISAIM 2008
77		Luke S. Zettlemoyer, Brian Milch, Leslie Pack Kaelbling: Multi-Agent Filtering with Infinitely Nested Beliefs. NIPS 2008: 1905-1912
76		Paulina 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
75		Natalia Hernandez-Gardiol, Leslie Pack Kaelbling: Action-Space Partitioning for Planning. AAAI 2007: 980-986
74		Han-Pang Chiu, Leslie Pack Kaelbling, Tomás Lozano-Pérez: Virtual Training for Multi-View Object Class Recognition. CVPR 2007
73		Kaijen Hsiao, Leslie Pack Kaelbling, Tomás Lozano-Pérez: Grasping POMDPs. ICRA 2007: 4685-4692
72		Daniel M. Roy, Leslie Pack Kaelbling: Efficient Bayesian Task-Level Transfer Learning. IJCAI 2007: 2599-2604
71		Ashwin 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
70		Luke S. Zettlemoyer, Hanna M. Pasula, Leslie Pack Kaelbling: Logical Particle Filtering. Probabilistic, Logical and Relational Learning - A Further Synthesis 2007
69		Sarah Finney, Leslie Pack Kaelbling, Tomás Lozano-Pérez: Predicting Partial Paths from Planning Problem Parameters. Robotics: Science and Systems 2007
68		Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer, Leslie Pack Kaelbling: Learning Probabilistic Relational Dynamics for Multiple Tasks. UAI 2007: 83-92
67		Hanna M. Pasula, Luke S. Zettlemoyer, Leslie Pack Kaelbling: Learning Symbolic Models of Stochastic Domains. J. Artif. Intell. Res. (JAIR) 29: 309-352 (2007)
	2005
66		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
65		Luke S. Zettlemoyer, Hanna Pasula, Leslie Pack Kaelbling: Learning Planning Rules in Noisy Stochastic Worlds. AAAI 2005: 911-918
64		Michael G. Ross, Leslie Pack Kaelbling: Learning Static Object Segmentation from Motion Segmentation. AAAI 2005: 956-961
63		Yu-Han Chang, Leslie Pack Kaelbling: Hedged learning: regret-minimization with learning experts. ICML 2005: 121-128
	2004
62		Yu-Han Chang, Tracey Ho, Leslie Pack Kaelbling: Mobilized Ad-Hoc Networks: A Reinforcement Learning Approach. ICAC 2004: 240-247
61		Hanna Pasula, Luke S. Zettlemoyer, Leslie Pack Kaelbling: Learning Probabilistic Relational Planning Rules. ICAPS 2004: 73-82
60		Georgios Theocharous, Kevin P. Murphy, Leslie Pack Kaelbling: Representing Hierarchical POMDPs as DBNs for Multi-scale Robot Localization. ICRA 2004: 1045-1051
59		Hanna Pasula, Luke S. Zettlemoyer, Leslie Pack Kaelbling: Learning Probabilistic Relational Planning Rules. KR 2004: 683-691
	2003
58		Yu-Han Chang, Tracey Ho, Leslie Pack Kaelbling: All learning is Local: Multi-agent Learning in Global Reward Games. NIPS 2003
57		Georgios Theocharous, Leslie Pack Kaelbling: Approximate Planning in POMDPs with Macro-Actions. NIPS 2003
56		Natalia Hernandez-Gardiol, Leslie Pack Kaelbling: Envelope-based Planning in Relational MDPs. NIPS 2003
55		Brett 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
54		Terran Lane, Leslie Pack Kaelbling: Nearly Deterministic Abstractions of Markov Decision Processes. AAAI/IAAI 2002: 260-266
53		William D. Smart, Leslie Pack Kaelbling: Effective Reinforcement Learning for Mobile Robots. ICRA 2002: 3404-3410
52		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
51		Hagit 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
50		Yu-Han Chang, Leslie Pack Kaelbling: Playing is believing: The role of beliefs in multi-agent learning. NIPS 2001: 1483-1490
49		Leonid Peshkin, Nicolas Meuleau, Leslie Pack Kaelbling: Learning Policies with External Memory CoRR cs.LG/0103003: (2001)
48		Leonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, Leslie Pack Kaelbling: Learning to Cooperate via Policy Search CoRR cs.LG/0105032: (2001)
	2000
47		Luis E. Ortiz, Leslie Pack Kaelbling: Sampling Methods for Action Selection in Influence Diagrams. AAAI/IAAI 2000: 378-385
46		Peter Ju, Leslie Pack Kaelbling, Yoram Singer: State-based Classification of Finger Gestures from Electromyographic Signals. ICML 2000: 439-446
45		William D. Smart, Leslie Pack Kaelbling: Practical Reinforcement Learning in Continuous Spaces. ICML 2000: 903-910
44		Luis E. Ortiz, Leslie Pack Kaelbling: Adaptive Importance Sampling for Estimation in Structured Domains. UAI 2000: 446-454
43		Leonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, Leslie Pack Kaelbling: Learning to Cooperate via Policy Search. UAI 2000: 489-496
	1999
42		Leonid Peshkin, Nicolas Meuleau, Leslie Pack Kaelbling: Learning Policies with External Memory. ICML 1999: 307-314
41		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
40		Nicolas Meuleau, Kee-Eung Kim, Leslie Pack Kaelbling, Anthony R. Cassandra: Solving POMDPs by Searching the Space of Finite Policies. UAI 1999: 417-426
39		Nicolas Meuleau, Leonid Peshkin, Kee-Eung Kim, Leslie Pack Kaelbling: Learning Finite-State Controllers for Partially Observable Environments. UAI 1999: 427-436
38		Luis E. Ortiz, Leslie Pack Kaelbling: Accelerating EM: An Empirical Study. UAI 1999: 512-521
	1998
37		William D. Smart, Leslie Pack Kaelbling: A Framework for Reinforcement Learning on Real Robots. AAAI/IAAI 1998: 1202
36		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
35		Hagit Shatkay, Leslie Pack Kaelbling: Heading in the Right Direction. ICML 1998: 531-539
34		Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas Dean, Craig Boutilier: Hierarchical Solution of Markov Decision Processes using Macro-actions. UAI 1998: 220-229
33		Leslie 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
32		Hagit Shatkay, Leslie Pack Kaelbling: Learning Topological Maps with Weak Local Odometric Information. IJCAI (2) 1997: 920-929
	1996
31		Sridhar Mahadevan, Leslie Pack Kaelbling: The National Science Foundation Workshop on Reinforcement Learning. AI Magazine 17(4): 89-93 (1996)
30		Leslie Pack Kaelbling, Michael L. Littman, Andrew W. Moore: Reinforcement Learning: A Survey CoRR cs.AI/9605103: (1996)
29		Leslie Pack Kaelbling, Michael L. Littman, Andrew W. Moore: Reinforcement Learning: A Survey. J. Artif. Intell. Res. (JAIR) 4: 237-285 (1996)
28		Leslie Pack Kaelbling: Introduction. Machine Learning 22(1-3): 7-9 (1996)
	1995
27		Michael L. Littman, Anthony R. Cassandra, Leslie Pack Kaelbling: Learning Policies for Partially Observable Environments: Scaling Up. ICML 1995: 362-370
26		Leslie Pack Kaelbling, Michael L. Littman, Anthony R. Cassandra: Partially Observable Markov Decision Processes for Artificial Intelligence. KI 1995: 1-17
25		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
24		Michael L. Littman, Thomas Dean, Leslie Pack Kaelbling: On the Complexity of Solving Markov Decision Problems. UAI 1995: 394-402
23		Kenneth Basye, Thomas Dean, Leslie Pack Kaelbling: Learning Dynamics: System Identification for Perceptually Challenged Agents. Artif. Intell. 72(1-2): 139-171 (1995)
22		Stanley J. Rosenschein, Leslie Pack Kaelbling: A Situated View of Representation and Control. Artif. Intell. 73(1-2): 149-173 (1995)
21		Thomas Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson: Planning under Time Constraints in Stochastic Domains. Artif. Intell. 76(1-2): 35-74 (1995)
20		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
19		Anthony R. Cassandra, Leslie Pack Kaelbling, Michael L. Littman: Acting Optimally in Partially Observable Stochastic Domains. AAAI 1994: 1023-1028
18		Leslie Pack Kaelbling: Learning and intelligent Agents. ECAI 1994: 813
17		Leslie Pack Kaelbling: Associative Reinforcement Learning: Functions in k-DNF. Machine Learning 15(3): 279-298 (1994)
16		Leslie Pack Kaelbling: Associative Reinforcement Learning: A Generate and Test Algorithm. Machine Learning 15(3): 299-319 (1994)
	1993
15		Leslie Pack Kaelbling: Learning in embedded systems. MIT Press 1993: I-XI, 1-176
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
11		Thomas 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
8		Leslie 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

1	David W. Aha	[84]
2	Dana Angluin	[10] [20]
3	Shlomo Argamon (Shlomo Argamon-Engelson, Sean P. Engelson)	[10] [20]
4	Leemon C. Baird III	[41]
5	Jennifer L. Barry	[93]
6	Kenneth Basye	[10] [20] [23]
7	Mark S. Boddy	[84]
8	Craig Boutilier	[34] [36]
9	Emma Brunskill	[78] [83]
10	Vadim Bulitko	[84]
11	Anthony R. Cassandra	[19] [25] [26] [27] [33] [40]
12	Yu-Han Chang	[50] [58] [62] [63]
13	David Chapman	[9]
14	Han-Pang Chiu	[74] [81] [87]
15	Thomas Dean	[10] [11] [14] [20] [21] [23] [24] [34] [36]
16	Ashwin Deshpande	[68] [71]
17	Prashant Doshi	[84]
18	Stefan Edelkamp	[84]
19	Brett R. Fajen	[55]
20	Sarah Finney	[52] [69]
21	Artur S. d'Avila Garcez	[84]
22	Christopher W. Geib	[84]
23	Piotr J. Gmytrasiewicz	[84]
24	Robert P. Goldman	[84]
25	Noah D. Goodman	[94]
26	Andrew Haydn Grant	[96]
27	Michael Haimes	[79]
28	Alon Y. Halevy (Alon Y. Levy)	[84]
29	Milos Hauskrecht	[34] [36]
30	Natalia Hernandez-Gardiol	[56] [75]
31	Pascal Hitzler	[84]
32	Tracey Ho	[58] [62]
33	Kaijen Hsiao	[73] [85] [92]
34	David Hsu	[96]
35	Charles Lee Isbell Jr. (Charles L. Isbell)	[84]
36	Darsana P. Josyula	[84]
37	Peter Ju	[46]
38	Kristian Kersting	[79] [84]
39	Kee-Eung Kim	[36] [39] [40] [43] [48]
40	Jak Kirman	[11] [14] [21]
41	Evangelos Kokkevis	[10] [20]
42	Maithilee Kunda	[84]
43	Luís C. Lamb (Luís da Cunha Lamb)	[84]
44	Terran Lane	[54]
45	Wee Sun Lee	[96]
46	Tze-Yun Leong	[96]
47	Michael L. Littman	[19] [24] [25] [26] [27] [29] [30] [33]
48	Huan Liu	[87]
49	Tomás Lozano-Pérez	[69] [73] [74] [78] [81] [83] [85] [86] [87] [89] [92] [93] [95] [96]
50	Sridhar Mahadevan	[31]
51	Oded Maron	[10] [20]
52	Bhaskara Marthi	[84]
53	Keith McGreggor	[84]
54	Nicolas Meuleau	[34] [36] [39] [40] [42] [43] [48] [49]
55	Ron van der Meyden	[84]
56	Lilyana Mihalkova	[84]
57	Brian Milch	[68] [71] [77] [79]
58	Andrew W. Moore	[29] [30] [41]
59	Kevin P. Murphy	[60]
60	Vivi Nastase	[84]
61	Sriraam Natarajan	[84]
62	Truong-Huy Dinh Nguyen	[96]
63	Ann E. Nicholson	[11] [14] [21]
64	Tim Oates	[52]
65	Luis E. Ortiz	[38] [44] [47]
66	Hanna M. Pasula (Hanna Pasula)	[59] [61] [65] [67] [70] [90]
67	Leonid Peshkin	[36] [39] [42] [43] [48] [49]
68	Robert Platt Jr. (Robert Platt)	[86]
69	Gregory Provan	[84]
70	Anita Raja	[84]
71	Ashwin Ram	[84]
72	Mark O. Riedl (Mark Riedl)	[84]
73	Stanley J. Rosenschein	[1] [22]
74	Michael G. Ross	[64] [80]
75	Daniel M. Roy	[72] [94]
76	Nicholas Roy	[78] [83]
77	Daniela Rus	[76]
78	Stuart J. Russell	[84]
79	Ashish Sabharwal	[84]
80	Alessandro Saffiotti	[66]
81	Hagit Shatkay	[32] [35] [51] [91]
82	Yoram Singer	[46]
83	William D. Smart	[37] [45] [53]
84	Jan-Georg Smaus	[84]
85	Gita Reese Sukthankar (Gita Sukthankar)	[84]
86	Russ Tedrake	[86]
87	Selim Temizer	[55]
88	Joshua B. Tenenbaum	[94]
89	Georgios Theocharous	[57] [60]
90	Karl Tuyls	[84]
91	Paulina Varshavskaya	[76]
92	Peter P. Wakker	[52]
93	William H. Warren	[55]
94	David Wingate	[94]
95	Luke S. Zettlemoyer	[59] [61] [65] [67] [68] [70] [71] [77] [79] [90]

Colors in the list of coauthors

Last update Fri Jun 1 15:44:53 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page