For accessibility information go to accessibility.mit.edu

Leslie Pack Kaelbling's papers since 1993

See LIS group website for pdfs not available here.

2015

Bayesian Optimization with Exponential Convergence (Kenji Kawaguchi, Leslie Pack Kaelbling, Tomas Lozano-Perez), In Advances in Neural Information Processing (NIPS), 2015.
Data association for semantic world modeling from partial views (Lawson L.S. Wong, Leslie Pack Kaelbling, Tomas Lozano-Perez), In International Journal of Robotics Research, volume 34, 2015.
Hierarchical planning for multi-contact non-prehensile manipulation (Gilwoo Lee, Tomas Lozano-Perez, Leslie Pack Kaelbling), In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015.
Symbol Acquisition for Probabilistic High-Level Planning (G.D. Konidaris, L.P. Kaelbling, T. Lozano-Perez), In Proceedings of the Twenty Fourth International Joint Conference on Artificial Intelligence (IJCAI), 2015.
Generalizing over Uncertain Dynamics for Online Trajectory Generation (Beomjoon Kim, Albert Kim, Hongkai Dai, Leslie Pack Kaelbling, Tomas Lozano-Perez), In International Symposium of Robotics Research (ISRR), 2015.
Backward-Forward Search for Manipulation Planning (Caelan Reed Garrett, Tomas Lozano-Perez, Leslie Pack Kaelbling), In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015.
Policy Search for Multi-Robot Coordination under Uncertainty (C. Amato, G.D. Konidaris, A. Anders, G. Cruz, J.P. How, L.P. Kaelbling), In Robotics: Science and Systems XI (RSS), 2015.
Planning for Decentralized Control of Multiple Robots Under Uncertainty (C. Amato, G.D. Konidaris, G. Cruz, C. Maynor, J.P. How, L.P. Kaelbling), In Proceedings of the 2015 IEEE International Conference on Robotics and Automation, 2015.

2014

Not Seeing is Also Believing: Combining Object and Metric Spatial Information (Lawson L.S. Wong, Leslie Pack Kaelbling, Tomas Lozano-Perez), In IEEE Conference on Robotics and Automation (ICRA), 2014.
A constraint-based method for solving sequential manipulation planning problems (Tomas Lozano-Perez, Leslie Pack Kaelbling), In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014.
Constructing Symbolic Representations for High-Level Planning (George D. Konidaris, Leslie Kaelbling, Tomas Lozano-Perez), In Proceedings of the Twenty-Eighth Conference on Artificial Intelligence, 2014.
Tracking the Spin on a Ping Pong Ball with the Quaternion Bingham Filter (Jared Glover, Leslie Pack Kaelbling), In IEEE Conference on Robotics and Automation (ICRA), 2014.
FFRob: An efficient heuristic for task and motion planning (Caelan Reed Garrett, Tomas Lozano-Perez, Leslie Pack Kaelbling), In International Workshop on the Algorithmic Foundations of Robotics (WAFR), 2014.
Interactive Bayesian Identification of Kinematic Mechanisms (Patrick R. Barragán, Leslie Pack Kaelbling, Tomas Lozano-Perez), In IEEE Conference on Robotics and Automation (ICRA), 2014.
Planning with Macro-Actions in Decentralized POMDPs (Christopher Amato, George Konidaris, Leslie Pack Kaelbling), In Thirteenth International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-14), 2014.

2013

Constructing Semantic World Models from Partial Views (Lawson L.S. Wong, Leslie Pack Kaelbling, Tomas Lozano-Perez), In Robotics: Science and Systems (RSS) Workshop on Robots in Clutter, 2013.
Data association for semantic world modeling from partial views (Lawson L.S. Wong, Leslie Pack Kaelbling, Tomas Lozano-Perez), In International Symposium of Robotics Research, 2013.
Manipulation-based Active Search for Occluded Objects (Lawson L.S. Wong, Leslie Pack Kaelbling, Tomas Lozano-Perez), In IEEE Conference on Robotics and Automation (ICRA), 2013.
Integrated Task and Motion Planning in Belief Space (Leslie Pack Kaelbling, Tomas Lozano-Perez), In International Journal of Robotics Research, volume 32, 2013.
Foresight and Reconsideration in Hierarchical Planning and Execution (Martin Levihn, Leslie Pack Kaelbling, Tomas Lozano-Perez, Mike Stilman), In IEEE/RSJ International Conference on Intelligent Robots and Systems, 2013.
Automatic Synthesis of Rules for Planning in Belief Space (Leslie Pack Kaelbling), In RSS Workshop on Combined Robot Motion Planning and AI Planning for Practical Applications, 2013.
Object Placement as Inverse Motion Planning (Anne Holladay, Jennifer Barry, Leslie Pack Kaelbling, Tomas Lozano-Perez), In IEEE Conference on Robotics and Automation (ICRA), 2013.
Optimization in the Now: Dynamic Peephole Optimization for Hierarchical Planning (Dylan Hadfield-Menell, Leslie Pack Kaelbling, Tomas Lozano-Perez), In IEEE Conference on Robotics and Automation (ICRA), 2013.
A Hierarchical Approach to Manipulation with Diverse Actions (Jennifer Barry, Leslie Pack Kaelbling, Tomas Lozano-Perez), In IEEE Conference on Robotics and Automation (ICRA), 2013.

2012

POMCoP: Belief Space Planning for Sidekicks in Cooperative Games (O. Macindoe, L. P. Kaelbling, T. Lozano-Perez), In Proceedings of the 8th Annual AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2012. (Best Paper Award)
Influence-Based Abstraction for Multiagent Systems (Frans A. Oliehoek, Stefan Witwicki, Leslie P. Kaelbling), In Proceedings of the National Conference on Artificial Intelligence, 2012.
Manipulation with Multiple Action Types (J. Barry, K. Hsiao, L. P. Kaelbling, T. Lozano-Perez), In International Symposium on Experimental Robotics, 2012.
Heuristic Search of Multiagent Influence Space (Stefan Witwicki, Frans A. Oliehoek, Leslie P. Kaelbling), In Proceedings of The International Joint Conference on Autonomous Agents and Multi Agent Systems, 2012.
LQR-RRT*: Optimal Sampling-Based Motion Planning with Automatically Derived Extension Heuristics (A. Perez, R. Platt, G.D. Konidaris, L.P. Kaelbling, T. Lozano-Perez), In Proceedings of the IEEE International Conference on Robotics and Automation, 2012.
Collision-Free State Estimation (Lawson L.S. Wong, Leslie P. Kaelbling, Tomas Lozano-Perez), In IEEE Conference on Robotics and Automation (ICRA), 2012.
Non-Gaussian Belief Space Planning: Correctness and Complexity (Robert Platt, Leslie Kaelbling, Tomas Lozano-Perez, Russ Tedrake), In IEEE Conference on Robotics and Automation (ICRA), 2012.
Unifying Perception, Estimation and Action for Mobile Manipulation via Belief Space Planning (Leslie Pack Kaelbling, Tomas Lozano-Perez), In IEEE Conference on Robotics and Automation (ICRA), 2012.

2011

Robert Platt, Leslie Pack Kaelbling, Tomas Lozano-Perez, and Russ Tedrake, "Simultaneous Localization and Grasping as a Belief Space Control Problem," Proceedings of the International Symposium on Robotics Research, August 2011. PDF (Extended version available in CSAIL Tech Report MIT-CSAIL-TR-2011-039. )
Jennifer L. Barry, Leslie Pack Kaelbling, and Tomas Lozano-Perez, "DetH*: Approximate Hierarchical Solution of Large Markov Decision Processes," In International Joint Conference on Artificial Intelligence, July 2011. PDF.
Kaijen Hsiao, Leslie Pack Kaelbling, and Tomas Lozano-Perez, "Robust grasping under object pose uncertainty," Autonomous Robots, Vol. 31, Numbers 2--3, 2011. PDF.
Leslie Pack Kaelbling and Tomas Lozano-Perez, "Pre-image backchaining in belief space for mobile manipulation," International Symposium on Robotics Research, August 2011. PDF.
Leslie Pack Kaelbling and Tomas Lozano-Perez, "Hierarchical Planning in the Now," IEEE Conference on Robotics and Automation, May 2011. PDF.
Leslie Pack Kaelbling and Tomas Lozano-Perez, "Domain and Plan Representation for Task and Motion Planning in Uncertain Domains," IROS workshop on Knowledge Representation for Autonomous Robots, September 2011. PDF. Substantially similar to "Hiearchical Planning in the Know: Hierarchical Belief-Space Task and Motion Planning," ICRA workshop on Mobile Manipulation, May 2011.

2010

Han-Pang Chiu, Huan Liu, Leslie Pack Kaelbling, and Tomas Lozano-Perez, "Class-Specific Grasping of 3D Objects from a Single 3D Image", IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), September, 2010.
Emma Brunskill, Leslie Pack Kaelbling, Tomas Lozano-Perez, and Nicholas Roy, "Planning in partially observable switching-mode continuous domains," Annals of Mathematics and Artificial Intelligence, July, 2010. PDF.
Kaijen Hsiao, Leslie Pack Kaelbling and Tomas Lozano-Perez, "Task-Driven Tactile Exploration," Robotics, Science and Systems (RSS), June 2010. PDF.
Robert Platt, Russell Tedrake, Tomas Lozano-Perez, and Leslie Pack Kaelbling, "Belief space planning assuming maximum likelihood observations," Robotics Science and Systems, June 2010. PDF.
Jennifer Barry, Leslie Pack Kaelbling, and Tomas Lozano-Perez, "Hierarchical Solution of Large Markov Decision Processes," ICAPS Workshop on Planning and Scheduling in Uncertain Domains, May, 2010. PDF.
Leslie Pack Kaelbling and Tomas Lozano-Perez, "Hierarchical Planning in the Now," IEEE Conference on Robotics and Automation Workshop on Mobile Manipulation, May 2010. (Subsumed by 2011 paper of same title).
Selim Temizer, Mykel J. Kochenderfer, Leslie Pack Kaelbling, Tomas Lozano-Perez, and James K. Kuchar, "Collision Avoidance for Unmanned Aircraft using Markov Decision Processes," in AIAA Infotech at Aerospace Conference, 2010. PDF.

2009

Han-Pang Chiu, Leslie Pack Kaelbling and Tomas Lozano-Perez, "Learning to generate novel views of objects for class recognition", Computer Vision and Image Understanding, 113 (2009) 1183--1197. PDF.
Michael G. Ross and Leslie Pack Kaelbling, "Segmentation According to Natural Examples: Learning Static Segmentation from Motion Segmentation," IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009. PDF

2008

Brian Milch, Luke S. Zettlemoyer, Kristian Kersting, Michael Haimes, and Leslie Pack Kaelbling. "Lifted Probabilistic Inference with Counting Formulas," in Proceedings of the Twenty Third Conference on Artificial Intelligence (AAAI), 2008. PDF
Kaijen Hsiao, Tomas Lozano-Perez, and Leslie Pack Kaelbling, "Robust Belief-Based Execution of Manipulation Programs," in Eighth International Workshop on the Algorithmic Foundations of Robotics (WAFR), 2008. PDF
Luke S. Zettlemoyer, Brian Milch, Leslie Pack Kaelbling. "Multi-agent Filtering with Infinitely Nested Beliefs," to appear in Neural Information Processing Systems (NIPS), 2008.
P. Varshasvskaya, L. P. Kaelbling, and D. Rus Automated Design of Adaptive Controllers for Modular Robots Using Reinforcement Learning, International Journal of Robotics Research 27:3-4 (Special Issue on Self-Reconfigurable Modular Robots), Mar-Apr 2008. PDF
Emma Brunskill, Leslie Pack Kaelbling, Tomas Lozano-Perez, and Nicholas Roy, "Continuous-state POMDPs with hybrid dynamics", AAAI 2008 Workshop on Advancements in POMDP Solvers, July 2008.
Paulina Varshavskaya, Leslie Pack Kaelbling, and Daniela Rus, "Efficient Distributed Reinforcement Learning Through Agreement," 9th International Symposium on Distributed Autonomous Robotic Systems (DARS), Tsukuba Japan, November 2008. PDF

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).
Paulina Varshavskaya, Leslie Pack Kaelbling, and Daniela Rus, "Learning Distributed Control for Modular Robots," in International Conference on Intelligent Robots and Systems, Sendai, Japan, September-October 2004. PDF
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).