| 2008 |
|---|
| 75 | | Brian Milch,
Luke S. Zettlemoyer,
Kristian Kersting,
Michael Haimes,
Leslie Pack Kaelbling:
Lifted Probabilistic Inference with Counting Formulas.
AAAI 2008: 1062-1068 |
| 74 | EE | Luke S. Zettlemoyer,
Brian Milch,
Leslie Pack Kaelbling:
Multi-Agent Filtering with Infinitely Nested Beliefs.
NIPS 2008: 1905-1912 |
| 2007 |
|---|
| 73 | | Natalia Hernandez-Gardiol,
Leslie Pack Kaelbling:
Action-Space Partitioning for Planning.
AAAI 2007: 980-986 |
| 72 | EE | Han-Pang Chiu,
Leslie Pack Kaelbling,
Tomás Lozano-Pérez:
Virtual Training for Multi-View Object Class Recognition.
CVPR 2007 |
| 71 | EE | Kaijen Hsiao,
Leslie Pack Kaelbling,
Tomás Lozano-Pérez:
Grasping POMDPs.
ICRA 2007: 4685-4692 |
| 70 | EE | Daniel M. Roy,
Leslie Pack Kaelbling:
Efficient Bayesian Task-Level Transfer Learning.
IJCAI 2007: 2599-2604 |
| 69 | EE | 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 |
| 68 | EE | Luke S. Zettlemoyer,
Hanna M. Pasula,
Leslie Pack Kaelbling:
Logical Particle Filtering.
Probabilistic, Logical and Relational Learning - A Further Synthesis 2007 |
| 67 | EE | Sarah Finney,
Leslie Pack Kaelbling,
Tomás Lozano-Pérez:
Predicting Partial Paths from Planning Problem Parameters.
Robotics: Science and Systems 2007 |
| 66 | EE | 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 |
|---|
| 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 |
| 62 | EE | Yu-Han Chang,
Leslie Pack Kaelbling:
Hedged learning: regret-minimization with learning experts.
ICML 2005: 121-128 |
| 2004 |
|---|
| 61 | EE | Yu-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 |
| 59 | EE | Georgios 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 |
|---|
| 57 | EE | Yu-Han Chang,
Tracey Ho,
Leslie Pack Kaelbling:
All learning is Local: Multi-agent Learning in Global Reward Games.
NIPS 2003 |
| 56 | EE | Georgios Theocharous,
Leslie Pack Kaelbling:
Approximate Planning in POMDPs with Macro-Actions.
NIPS 2003 |
| 55 | EE | Natalia Hernandez-Gardiol,
Leslie Pack Kaelbling:
Envelope-based Planning in Relational MDPs.
NIPS 2003 |
| 54 | EE | 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 |
|---|
| 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 |
| 50 | EE | 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 |
|---|
| 49 | EE | Yu-Han Chang,
Leslie Pack Kaelbling:
Playing is believing: The role of beliefs in multi-agent learning.
NIPS 2001: 1483-1490 |
| 48 | EE | Leonid Peshkin,
Nicolas Meuleau,
Leslie Pack Kaelbling:
Learning Policies with External Memory
CoRR cs.LG/0103003: (2001) |
| 47 | EE | Leonid 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 |
| 43 | EE | Luis E. Ortiz,
Leslie Pack Kaelbling:
Adaptive Importance Sampling for Estimation in Structured Domains.
UAI 2000: 446-454 |
| 42 | EE | Leonid 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 |
| 39 | EE | Nicolas Meuleau,
Kee-Eung Kim,
Leslie Pack Kaelbling,
Anthony R. Cassandra:
Solving POMDPs by Searching the Space of Finite Policies.
UAI 1999: 417-426 |
| 38 | EE | Nicolas Meuleau,
Leonid Peshkin,
Kee-Eung Kim,
Leslie Pack Kaelbling:
Learning Finite-State Controllers for Partially Observable Environments.
UAI 1999: 427-436 |
| 37 | EE | Luis 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 |
| 33 | EE | Milos Hauskrecht,
Nicolas Meuleau,
Leslie Pack Kaelbling,
Thomas Dean,
Craig Boutilier:
Hierarchical Solution of Markov Decision Processes using Macro-actions.
UAI 1998: 220-229 |
| 32 | EE | 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 |
|---|
| 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) |
| 29 | EE | Leslie 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 |
| 23 | EE | Michael L. Littman,
Thomas Dean,
Leslie Pack Kaelbling:
On the Complexity of Solving Markov Decision Problems.
UAI 1995: 394-402 |
| 22 | EE | Kenneth Basye,
Thomas Dean,
Leslie Pack Kaelbling:
Learning Dynamics: System Identification for Perceptually Challenged Agents.
Artif. Intell. 72(1-2): 139-171 (1995) |
| 21 | EE | Stanley J. Rosenschein,
Leslie Pack Kaelbling:
A Situated View of Representation and Control.
Artif. Intell. 73(1-2): 149-173 (1995) |
| 20 | EE | 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) |
| 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 |
| 11 | EE | 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 | EE | 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 |
