Leslie Pack Kaelbling's papers since 1993

2007

Hanna M. Pasula, Luke S. Zettlemoyer and Leslie Pack Kaelbling, "Learning Symbolic Models of Stochastic Domains", Journal of Artificial Intelligence, Vol. 29, July, 2007. PDF (42 pages).
Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer, and Leslie Pack Kaelbling, "Learning Probabilistic Relational Dynamics for Multiple Tasks," Conference on Uncertainty in Artificial Intelligence, July, 2007. PDF (10 pages).
Natalia H. Gardiol and Leslie Pack Kaelbling, "Action-Space Partitioning for Planning", National Conference on Artificial Intelligence, July, 2007. PDF (7 pages).
Sarah Finney, Leslie Pack Kaelbling and Tomas Lozano-Perez, "Predicting Partial Paths from Planning Problem Parameters", Robotics Science and Systems, June, 2007. PDF.
Han-Pang Chiu, Leslie Pack Kaelbling and Tomas Lozano-Perez, "Virtual Training for Multi-View Object Class Recognition", IEEE Computer Society Conference on Computer Vision and Pattern Recognition, June, 2007. PDF (8 pages).
Luke S. Zettlemoyer, Hanna M. Pasula, and Leslie Pack Kaelbling, "Logical Particle Filtering", Proceedings of the Dagstuhl Seminar on Probabilistic, Logical, and Relational Learning, April 2007. PDF (14 pages).
Kaijen Hsiao, Leslie Pack Kaelbling and Tomas Lozano-Perez, "Grasping POMDPs," IEEE Conference on Robotics and Automation, 2007. PDF (8 pages).
Daniel M. Roy and Leslie Pack Kaelbling, "Efficient Bayesian Task-level Transfer Learning," International Joint Conference on Artificial Intelligence (IJCAI), 2007. PDF (6 pages).

2006

Michael Rosenstein, Zvika Marx, Tom Dietterich, and Leslie Pack Kaelbling, "Transfer Learning with an Ensemble of Background Tasks", NIPS workshop on inductive transfer, Dec. 2005. PDF (4 pages).

2005

Yu-Han Chang and Leslie Pack Kaelbling, "Hedged learning: Regret-minimization with learning experts," International Conference on Machine Learning, 2005. PDF (8 pages).
Michael G. Ross and Leslie Pack Kaelbling, "Learning Static Object Segmentation from Motion Segmentation," National Conference on Artificial Intelligence (AAAI), 2005. PDF (6 pages).
Luke S. Zettlemoyer, Hanna M. Pasula, and Leslie Pack Kaelbling, "Learning Planning Rules in Noisy Stochastic Worlds," National Conference on Artificial Intelligence (AAAI), 2005. PDF (8 pages).

2004

Yu-Han Chang, Tracey Ho, and Leslie Pack Kaelbling, "All learning is local: Multi-agent learning in global reward games," Advances in Neural Information Processing Systems 16, Vancouver, 2004 (NIPS-03). PDF (8 pages).
Georgios Theocharous and Leslie Pack Kaelbling, "Approximate Planning in POMDPS with Macro-Actions," Advances in Neural Information Processing Systems 16, Vancouver, 2004 (NIPS-03). PDF (8 pages).
Natalia H. Gardiol and Leslie Pack Kaelbling, "Envelope-based Planning in Relational MDPs", Advances in Neural Information Processing Systems 16, Vancouver, 2004 (NIPS-03). PDF (8 pages).
Michael G. Ross and Leslie Pack Kaelbling, "A Systematic Approach to Learning Object Segmentation from Motion," NIPS Workshop on Open Challenges in Cognitive Vision, Vancouver, 2004 (NIPS-03). PDF (8 pages).
Hanna M. Pasula, Luke S. Zettlemoyer, and Leslie Pack Kaelbling, "Learning Probabilistic Relational Planning Rules," Proceedings of the Fourteenth International Conference on Automated Planning and Scheduling , 2004 (ICAPS-04), to appear. PDF (9 pages).
Georgios Theocharous, Kevin Murphy, and Leslie Pack Kaelbling, "Representing hierarchical POMDPs as DBNs for multi-scale robot localization," International Conference on Robotics and Automation, 2004. PDF (7 pages).
Kurt Steinkraus and Leslie Pack Kaelbling, "Combining dynamic abstractions in vary large MDPs," draft, 2004. Postscript (6 pages).

2003

Brett R. Fajen, William H. Warren, Selim Temizer, and Leslie Pack Kaelbling, "A Dynamical Model of Visually-Guided Steering, Obstacle Avoidance, and Route Selection," International Journal of Computer Vision 54(1/2/3), 13-34, 2003. PDF (22 pages).
Michael G. Ross and Leslie Pack Kaelbling, "Learning object segmentation from video data," MIT AI Laboratory Memo AIM-2003-022, Cambridge, MA, September 2003. PDF (15 pages).
Yu-Han Chang, Tracey Ho, and Leslie Pack Kaelbling, "Mobilized ad-hoc networks: A reinforcement learning approach," MIT AI Laboratory Memo AIM-2003-025, Cambridge, MA, September 2003. PDF (10 pages).
Georgios Theocharous, Kevin Murphy, and Leslie Pack Kaelbling, "Representing hierarchical POMDPs as DBNs for multi-scale robot localization," Workshop on Reasoning about Uncertainty in Robotics, International Joint Conference on Artificial Intelligence, Acapulco, 2003. PDF (8 pages).

2002

William D. Smart and Leslie Pack Kaelbling, "Effective Reinforcement Learning for Mobile Robots," International Conference on Robotics and Automation, May 11-15, 2002. PDF (7 pages).
Yu-Han Chang, Leslie Pack Kaelbling, "Playing is believing: the role of beliefs in multi-agent learning," Advances in Neural Information Processing Systems 14, Vancouver, 2002 (NIPS-01). PDF (8 pages).
Sarah Finney, Natalia H. Gardiol, Leslie Pack Kaelbling, and Tim Oates, "The Thing That We Tried Didn't Work Very Well: Deictic Representation in Reinforcement Learning," Proceedings of the 18th International Conference on Uncertainty in Artificial Intelligence, Edmonton, 2002 (UAI-02). PDF (8 pages).
Sarah Finney, Natalia H. Gardiol, Leslie Pack Kaelbling, and Tim Oates, Learning with Deictic Representation, MIT AI Laboratory Memo AIM-2002-006, Cambridge, MA, April 2002. PDF (42 pages).
Terran Lane and Leslie Pack Kaelbling, "Nearly Deterministic Abstractions of Markov Decision Processes," Proceedings of the Eighteenth National Conference on Artificial Intelligence (AAAI-2002), Edmonton, 2002. PDF (7 pages).

2001

Sarah Finney, Natalia Hernandez Gardiol, Tim Oates, and Leslie Pack Kaelbling, "Learning in Worlds with Objects," Working Notes of the AAAI Stanford Spring Symposium on Learning Grounded Representations, 2001. PDF (6 pages).
Terran Lane and Leslie Pack Kaelbling, "Toward Hierarchical Decomposition for Planning in Uncertain Environments," In Proceedings of the 2001 IJCAI Workshop on Planning under Uncertainty and Incomplete Information, pp 1-7, 2001. PDF (7 pages).

2000

William D. Smart and Leslie Pack Kaelbling, "Practical Reinforcement Learning in Continuous Spaces," Proceedings of the Seventeenth International Conference on Machine Learning, 2000. Postscript (8 pages).
Leonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, and Leslie Pack Kaelbling, "Learning to Cooperate via Policy Search," Proceedings of the Sixteenth International Conference on Uncertainty in Artificial Intelligence, 2000. Postscript (8 pages).
Luis Ortiz and Leslie Pack Kaelbling, "Adaptive Importance Sampling for Estimation in Structured Domains," Proceedings of the Sixteenth International Conference on Uncertainty in Artificial Intelligence, 2000. Postscript (9 pages).
Luis Ortiz and Leslie Pack Kaelbling, "Sampling Methods for Action Selection in Influence Diagrams," Proceedings of the Seventeenth National Conference on Artificial Intelligence, 2000. Postscript (8 pages).
2000.
Peter Ju, Leslie Pack Kaelbling, and Yoram Singer, "State Based Classification of Finger Gestures from Electromyographic Signals," Proceedings of the Seventeenth International Conference on Machine Learning,Postscript (8 pages).

1999

Nicolas Meuleau, Leonid Peshkin, Kee-Eung Kim, and Leslie Pack Kaelbling, "Learning Finite-State Controllers for Partially Observable Environments," Proceedings of the Fifteenth International Conference on Uncertainty in Artificial Intelligence, 1999.Postscript (10 pages).
Nicolas Meuleau, Kee-Eung Kim, Leslie Pack Kaelbling, and Anthony R. Cassandra, "Solving POMDPs by Searching the Space of Finite Policies," Proceedings of the Fifteenth International Conference on Uncertainty in Artificial Intelligence, 1999.Postscript (10 pages).
Leonid Peshkin, Nicolas Meuleau, and Leslie Pack Kaelbling, "Learning Policies with External Memory," Proceedings of the Sixteenth International Conference on Machine Learning, 1999.Postscript (8 pages).
Luis E. Ortiz and Leslie Pack Kaelbling, "Accelerating EM: An Empirical Study," Proceedings of the Fifteenth International Conference on Uncertainty in Artificial Intelligence, 1999. Postscript (10 pages).
David Meir Blei and Leslie Pack Kaelbling, "Shortest Paths in a Dynamic Uncertain Domain," IJCAI Workshop on Adaptive Spatial Representations of Dynamic Environments, 1999. Postscript (7 pages).

1998

Andrew P. Duchon, William H. Warren, and Leslie Pack Kaelbling, ``Ecological Robotics,'' Adaptive Behavior, Volume 6, Number 3/4, 1998. Postscript (30 pages).
Hagit Shatkay and Leslie Pack Kaelbling, ``Heading in the Right Direction,'' Proceedings of the Fifteenth International Conference on Machine Learning, 1998.Postscript (9 pages).
Milos Hauskrecht, Nicolas Meuleau, Craig Boutilier, Leslie Pack Kaelbling, and Thomas Dean, ``Hierarchical Solution of Markov Decision Processes Using Macro-Actions,'' Proceedings of the Fourteenth International Conference on Uncertainty In Artificial Intelligence, 1998. Postscript (10 pages).
Nicolas Meuleau, Milos Hauskrecht, Kee-Eung Kim, Leonid Peshkin, Leslie Pack Kaelbling, Thomas Dean, and Craig Boutilier, ``Solving Very Large Weakly Coupled Markov Decision Processes,'' Proceedings of the Fifteenth National Conference on Artificial Intelligence, 1998. Postscript (8 pages).
Leslie Pack Kaelbling, Michael L. Littman and Anthony R. Cassandra, ``Planning and Acting in Partially Observable Stochastic Domains,'' Artificial Intelligence, Vol. 101, 1998. PDF (36 pages).

1997

Hagit Shatkay and Leslie Pack Kaelbling, ``Learning Topological Maps with Weak Local Odometric Information,'' in Proceedings of the Fifteenth International Joint Conference on Artificial Intelligence, 1997. Postscript (8 pages).

1996

Leslie Pack Kaelbling, Anthony R. Cassandra, and James A. Kurien, ``Acting Under Uncertainty: Discrete Bayesian Models for Mobile-Robot Navigation,'' in Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems, 1996. Postscript.
Leslie Pack Kaelbling, Michael L. Littman, and Andrew W. Moore, ``Reinforcement Learning: A Survey,'' Journal of Artificial Intelligence Research, Volume 4, 1996. Postscript (40 pages).

1995

Thomas Dean, Leslie Pack Kaelbling, Jak Kirman, and Ann Nicholson, ``Planning Under Time Constraints in Stochastic Domains,'' Artificial Intelligence, Vol. 76, 1995. Postscript (53 pages).
Stanley J. Rosenschein and Leslie Pack Kaelbling, ``A Situated View of Representation and Control,'' Artificial Intelligence, Vol. 73, 1995. Postscript (25 pages).
Kenneth Basye, Thomas Dean, and Leslie Pack Kaelbling, ``Learning Dynamics: System Identification for Perceptually Challenged Agents,'' Artificial Intelligence, Vol. 72, 1995. Postscript (46 pages).
Michael L. Littman, Anthony R. Cassandra, and Leslie Pack Kaelbling, ``Learning Policies for Partially Observable Environments: Scaling Up,'' Proceedings of the Twelfth International Conference on Machine Learning, 1995. Postscript (9 pages).
Michael L. Littman, Thomas L. Dean, and Leslie Pack Kaelbling, ``On the Complexity of Solving Markov Decision Problems,'' Proceedings of the Eleventh International Conference on Uncertainty in Artificial Intelligence, 1995. Postscript (9 pages).
Andrew P. Duchon, William H. Warren, and Leslie Pack Kaelbling, ``Controlling Behavior with Optical Flow,'' Proceedings of the Seventeenth Annual Conference of the Cognitive Science Society, 1995. Postscript (6 pages).

1994

Anthony R. Cassandra, Leslie Pack Kaelbling, and Michael L. Littman, ``Acting Optimally in Partially Observable Stochastic Domains,'' in Proceedings of the Twelfth National Conference on Artificial Intelligence, 1994. Postscript (6 pages).
Leslie Pack Kaelbling, ``Associative Reinforcement Learning: Functions in $k$-DNF,'' Machine Learning, Vol. 15, Number 3, 1994. Postscript (20 pages).

1993

Leslie Pack Kaelbling, ``Associative Reinforcement Learning: A Generate and Test Algorithm,'' Machine Learning, Vol. 15, Number 3, 1994. Postscript (20 pages).
Leslie Pack Kaelbling, Learning in Embedded Systems, The MIT Press, 1993; also available as Stanford University Ph.D. dissertation, 1990. MIT Press Page.
Leslie Pack Kaelbling, ``Hierarchical Reinforcement Learning: Preliminary Results,'' in Proceedings of the Tenth International Conference on Machine Learning, 1993. Postscript (7 pages).
Leslie Pack Kaelbling, ``Learning to Achieve Goals,'' in Proceedings of the Thirteenth International Joint Conference on Artificial Intelligence, 1993. Postscript (5 pages).