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Leslie Pack Kaelbling
2010 – today
- 2013
[i15]Sarah Finney, Natalia Gardiol, Leslie Pack Kaelbling, Tim Oates: The Thing That We Tried Didn't Work Very Well : Deictic Representation in Reinforcement Learning. CoRR abs/1301.0567 (2013)- [i14]Luis E. Ortiz, Leslie Pack Kaelbling: Adaptive Importance Sampling for Estimation in Structured Domains. CoRR abs/1301.3882 (2013)
- [i13]Nicolas Meuleau, Kee-Eung Kim, Leslie Pack Kaelbling, Anthony R. Cassandra: Solving POMDPs by Searching the Space of Finite Policies. CoRR abs/1301.6720 (2013)
- [i12]Nicolas Meuleau, Leonid Peshkin, Kee-Eung Kim, Leslie Pack Kaelbling: Learning Finite-State Controllers for Partially Observable Environments. CoRR abs/1301.6721 (2013)
- [i11]Luis E. Ortiz, Leslie Pack Kaelbling: Accelerating EM: An Empirical Study. CoRR abs/1301.6730 (2013)
- [i10]Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier: Hierarchical Solution of Markov Decision Processes using Macro-actions. CoRR abs/1301.7381 (2013)
- [i9]Michael L. Littman, Thomas L. Dean, Leslie Pack Kaelbling: On the Complexity of Solving Markov Decision Problems. CoRR abs/1302.4971 (2013)
- [i8]Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson: Deliberation Scheduling for Time-Critical Sequential Decision Making. CoRR abs/1303.1491 (2013)
- 2012
- [c75]Frans Adriaan Oliehoek, Stefan J. Witwicki, Leslie Pack Kaelbling: Influence-Based Abstraction for Multiagent Systems. AAAI 2012
- [c74]Stefan J. Witwicki, Frans A. Oliehoek, Leslie Pack Kaelbling: Heuristic search of multiagent influence space. AAMAS 2012: 973-980
- [c73]Owen Macindoe, Leslie Pack Kaelbling, Tomás Lozano-Pérez: POMCoP: Belief Space Planning for Sidekicks in Cooperative Games. AIIDE 2012
- [c72]Lawson L. S. Wong, Leslie Pack Kaelbling, Tomás Lozano-Pérez: Collision-free state estimation. ICRA 2012: 223-228
- [c71]Alejandro Perez, Robert Platt, George Konidaris, Leslie Pack Kaelbling, Tomás Lozano-Pérez: LQR-RRT*: Optimal sampling-based motion planning with automatically derived extension heuristics. ICRA 2012: 2537-2542
- [c70]Leslie Pack Kaelbling, Tomás Lozano-Pérez: Unifying perception, estimation and action for mobile manipulation via belief space planning. ICRA 2012: 2952-2959
- [c69]Robert Platt, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Russ Tedrake: Non-Gaussian belief space planning: Correctness and complexity. ICRA 2012: 4711-4717
- [i7]Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer, Leslie Pack Kaelbling: Learning Probabilistic Relational Dynamics for Multiple Tasks. CoRR abs/1206.5249 (2012)
- [i6]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. CoRR abs/1206.5928 (2012)
- 2011
- [j23]Kaijen Hsiao, Leslie Pack Kaelbling, Tomás Lozano-Pérez: Robust grasping under object pose uncertainty. Auton. Robots 31(2-3): 253-268 (2011)
- [c68]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
- [c67]Leslie Pack Kaelbling, Tomás Lozano-Pérez: Hierarchical task and motion planning in the now. ICRA 2011: 1470-1477
- [c66]David Wingate, Noah D. Goodman, Daniel M. Roy, Leslie Pack Kaelbling, Joshua B. Tenenbaum: Bayesian Policy Search with Policy Priors. IJCAI 2011: 1565-1570
- [c65]Jennifer L. Barry, Leslie Pack Kaelbling, Tomás Lozano-Pérez: DetH*: Approximate Hierarchical Solution of Large Markov Decision Processes. IJCAI 2011: 1928-1935
- [i5]Leslie Pack Kaelbling, Hagit Shatkay: Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap. CoRR abs/1106.0680 (2011)
- [i4]Leslie Pack Kaelbling, Hanna M. Pasula, Luke S. Zettlemoyer: Learning Symbolic Models of Stochastic Domains. CoRR abs/1110.2211 (2011)
- 2010
- [j22]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)
- [j21]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)
- [j20]Leslie Pack Kaelbling: Technical perspective - New bar set for intelligent vehicles. Commun. ACM 53(4): 98 (2010)
- [c64]Leslie Pack Kaelbling, Tomás Lozano-Pérez: Hierarchical Planning in the Now. Bridging the Gap Between Task and Motion Planning 2010
- [c63]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
- [c62]
- [c61]Kaijen Hsiao, Leslie Pack Kaelbling, Tomás Lozano-Pérez: Task-Driven Tactile Exploration. Robotics: Science and Systems 2010
- [c60]Robert Platt Jr., Russ Tedrake, Leslie Pack Kaelbling, Tomás Lozano-Pérez: Belief space planning assuming maximum likelihood observations. Robotics: Science and Systems 2010
2000 – 2009
- 2009
- [j19]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)
- [j18]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
- [j17]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)
- [c59]Brian Milch, Luke S. Zettlemoyer, Kristian Kersting, Michael Haimes, Leslie Pack Kaelbling: Lifted Probabilistic Inference with Counting Formulas. AAAI 2008: 1062-1068
- [c58]Emma Brunskill, Leslie Pack Kaelbling, Tomás Lozano-Pérez, Nicholas Roy: Continuous-State POMDPs with Hybrid Dynamics. ISAIM 2008
- [c57]Luke S. Zettlemoyer, Brian Milch, Leslie Pack Kaelbling: Multi-Agent Filtering with Infinitely Nested Beliefs. NIPS 2008: 1905-1912
- 2007
- [j16]Hanna M. Pasula, Luke S. Zettlemoyer, Leslie Pack Kaelbling: Learning Symbolic Models of Stochastic Domains. J. Artif. Intell. Res. (JAIR) 29: 309-352 (2007)
- [c56]Natalia Hernandez-Gardiol, Leslie Pack Kaelbling: Action-Space Partitioning for Planning. AAAI 2007: 980-986
- [c55]Han-Pang Chiu, Leslie Pack Kaelbling, Tomás Lozano-Pérez: Virtual Training for Multi-View Object Class Recognition. CVPR 2007
- [c54]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
- [c53]Luke S. Zettlemoyer, Hanna M. Pasula, Leslie Pack Kaelbling: Logical Particle Filtering. Probabilistic, Logical and Relational Learning - A Further Synthesis 2007
- [c52]
- [c51]Daniel M. Roy, Leslie Pack Kaelbling: Efficient Bayesian Task-Level Transfer Learning. IJCAI 2007: 2599-2604
- [c50]Sarah Finney, Leslie Pack Kaelbling, Tomás Lozano-Pérez: Predicting Partial Paths from Planning Problem Parameters. Robotics: Science and Systems 2007
- [c49]Ashwin Deshpande, Brian Milch, Luke S. Zettlemoyer, Leslie Pack Kaelbling: Learning Probabilistic Relational Dynamics for Multiple Tasks. UAI 2007: 83-92
- 2005
- [c48]Luke S. Zettlemoyer, Hanna Pasula, Leslie Pack Kaelbling: Learning Planning Rules in Noisy Stochastic Worlds. AAAI 2005: 911-918
- [c47]Michael G. Ross, Leslie Pack Kaelbling: Learning Static Object Segmentation from Motion Segmentation. AAAI 2005: 956-961
- [c46]Yu-Han Chang, Leslie Pack Kaelbling: Hedged learning: regret-minimization with learning experts. ICML 2005: 121-128
- [e1]Leslie Pack Kaelbling, Alessandro Saffiotti (Eds.): IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30-August 5, 2005. Professional Book Center 2005, ISBN 0938075934
- 2004
- [c45]Hanna Pasula, Luke S. Zettlemoyer, Leslie Pack Kaelbling: Learning Probabilistic Relational Planning Rules. ICAPS 2004: 73-82
- [c44]Yu-Han Chang, Tracey Ho, Leslie Pack Kaelbling: Mobilized Ad-Hoc Networks: A Reinforcement Learning Approach. ICAC 2004: 240-247
- [c43]Georgios Theocharous, Kevin P. Murphy, Leslie Pack Kaelbling: Representing Hierarchical POMDPs as DBNs for Multi-scale Robot Localization. ICRA 2004: 1045-1051
- [c42]Paulina Varshavskaya, Leslie Pack Kaelbling, Daniela Rus: Learning distributed control for modular robots. IROS 2004: 2648-2653
- [c41]Hanna Pasula, Luke S. Zettlemoyer, Leslie Pack Kaelbling: Learning Probabilistic Relational Planning Rules. KR 2004: 683-691
- 2003
- [j15]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)
- [c40]Yu-Han Chang, Tracey Ho, Leslie Pack Kaelbling: All learning is Local: Multi-agent Learning in Global Reward Games. NIPS 2003
- [c39]Natalia Hernandez-Gardiol, Leslie Pack Kaelbling: Envelope-based Planning in Relational MDPs. NIPS 2003
- [c38]Georgios Theocharous, Leslie Pack Kaelbling: Approximate Planning in POMDPs with Macro-Actions. NIPS 2003
- 2002
- [j14]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)
- [c37]Terran Lane, Leslie Pack Kaelbling: Nearly Deterministic Abstractions of Markov Decision Processes. AAAI/IAAI 2002: 260-266
- [c36]William D. Smart, Leslie Pack Kaelbling: Effective Reinforcement Learning for Mobile Robots. ICRA 2002: 3404-3410
- [c35]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
- 2001
- [c34]Yu-Han Chang, Leslie Pack Kaelbling: Playing is believing: The role of beliefs in multi-agent learning. NIPS 2001: 1483-1490
- [i3]Leonid Peshkin, Nicolas Meuleau, Leslie Pack Kaelbling: Learning Policies with External Memory. CoRR cs.LG/0103003 (2001)
- [i2]Leonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, Leslie Pack Kaelbling: Learning to Cooperate via Policy Search. CoRR cs.LG/0105032 (2001)
- 2000
- [c33]Luis E. Ortiz, Leslie Pack Kaelbling: Sampling Methods for Action Selection in Influence Diagrams. AAAI/IAAI 2000: 378-385
- [c32]Peter Ju, Leslie Pack Kaelbling, Yoram Singer: State-based Classification of Finger Gestures from Electromyographic Signals. ICML 2000: 439-446
- [c31]William D. Smart, Leslie Pack Kaelbling: Practical Reinforcement Learning in Continuous Spaces. ICML 2000: 903-910
- [c30]Luis E. Ortiz, Leslie Pack Kaelbling: Adaptive Importance Sampling for Estimation in Structured Domains. UAI 2000: 446-454
- [c29]Leonid Peshkin, Kee-Eung Kim, Nicolas Meuleau, Leslie Pack Kaelbling: Learning to Cooperate via Policy Search. UAI 2000: 489-496
1990 – 1999
- 1999
- [c28]Leonid Peshkin, Nicolas Meuleau, Leslie Pack Kaelbling: Learning Policies with External Memory. ICML 1999: 307-314
- [c27]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
- [c26]Nicolas Meuleau, Kee-Eung Kim, Leslie Pack Kaelbling, Anthony R. Cassandra: Solving POMDPs by Searching the Space of Finite Policies. UAI 1999: 417-426
- [c25]Nicolas Meuleau, Leonid Peshkin, Kee-Eung Kim, Leslie Pack Kaelbling: Learning Finite-State Controllers for Partially Observable Environments. UAI 1999: 427-436
- [c24]
- 1998
- [j13]Andrew P. Duchon, Leslie Pack Kaelbling, William H. Warren: Ecological Robotics. Adaptive Behaviour 6(3-4): 473-507 (1998)
- [j12]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)
- [c23]Nicolas Meuleau, Milos Hauskrecht, Kee-Eung Kim, Leonid Peshkin, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier: Solving Very Large Weakly Coupled Markov Decision Processes. AAAI/IAAI 1998: 165-172
- [c22]William D. Smart, Leslie Pack Kaelbling: A Framework for Reinforcement Learning on Real Robots. AAAI/IAAI 1998: 1202
- [c21]
- [c20]Milos Hauskrecht, Nicolas Meuleau, Leslie Pack Kaelbling, Thomas L. Dean, Craig Boutilier: Hierarchical Solution of Markov Decision Processes using Macro-actions. UAI 1998: 220-229
- 1997
- [c19]Hagit Shatkay, Leslie Pack Kaelbling: Learning Topological Maps with Weak Local Odometric Information. IJCAI (2) 1997: 920-929
- 1996
- [j11]Sridhar Mahadevan, Leslie Pack Kaelbling: The National Science Foundation Workshop on Reinforcement Learning. AI Magazine 17(4): 89-93 (1996)
- [j10]Leslie Pack Kaelbling, Michael L. Littman, Andrew W. Moore: Reinforcement Learning: A Survey. J. Artif. Intell. Res. (JAIR) 4: 237-285 (1996)
- [j9]
- [i1]Leslie Pack Kaelbling, Michael L. Littman, Andrew W. Moore: Reinforcement Learning: A Survey. CoRR cs.AI/9605103 (1996)
- 1995
- [j8]Kenneth Basye, Thomas L. Dean, Leslie Pack Kaelbling: Learning Dynamics: System Identification for Perceptually Challenged Agents. Artif. Intell. 72(1-2): 139-171 (1995)
- [j7]Stanley J. Rosenschein, Leslie Pack Kaelbling: A Situated View of Representation and Control. Artif. Intell. 73(1-2): 149-173 (1995)
- [j6]Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson: Planning under Time Constraints in Stochastic Domains. Artif. Intell. 76(1-2): 35-74 (1995)
- [j5]Thomas L. 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)
- [c18]Michael L. Littman, Anthony R. Cassandra, Leslie Pack Kaelbling: Learning Policies for Partially Observable Environments: Scaling Up. ICML 1995: 362-370
- [c17]Leslie Pack Kaelbling, Michael L. Littman, Anthony R. Cassandra: Partially Observable Markov Decision Processes for Artificial Intelligence. KI 1995: 1-17
- [c16]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
- [c15]Michael L. Littman, Thomas L. Dean, Leslie Pack Kaelbling: On the Complexity of Solving Markov Decision Problems. UAI 1995: 394-402
- 1994
- [j4]Leslie Pack Kaelbling: Associative Reinforcement Learning: Functions in k-DNF. Machine Learning 15(3): 279-298 (1994)
- [j3]Leslie Pack Kaelbling: Associative Reinforcement Learning: A Generate and Test Algorithm. Machine Learning 15(3): 299-319 (1994)
- [c14]Anthony R. Cassandra, Leslie Pack Kaelbling, Michael L. Littman: Acting Optimally in Partially Observable Stochastic Domains. AAAI 1994: 1023-1028
- [c13]
- 1993
- [b1]Leslie Pack Kaelbling: Learning in embedded systems. MIT Press 1993, ISBN 978-0-262-11174-4, pp. I-XI, 1-176
- [c12]Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson: Planning With Deadlines in Stochastic Domains. AAAI 1993: 574-579
- [c11]Leslie Pack Kaelbling: Hierarchical Learning in Stochastic Domains: Preliminary Results. ICML 1993: 167-173
- [c10]
- [c9]Thomas L. Dean, Leslie Pack Kaelbling, Jak Kirman, Ann E. Nicholson: Deliberation Scheduling for Time-Critical Sequential Decision Making. UAI 1993: 309-316
- 1992
- [c8]Thomas L. 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
- [j2]Leslie Pack Kaelbling: Foundations of learning in autonomous agents. Robotics and Autonomous Systems 8(1-2): 131-144 (1991)
- [j1]Leslie Pack Kaelbling: A Situated-Automata Approach to the Design of Embedded Agents. SIGART Bulletin 2(4): 85-88 (1991)
- [c7]David Chapman, Leslie Pack Kaelbling: Input Generalization in Delayed Reinforcement Learning: An Algorithm and Performance Comparisons. IJCAI 1991: 726-731
- 1990
- [c6]
1980 – 1989
- 1989
- [c5]
- [c4]
- 1988
- [c3]
- [c2]
- 1986
- [c1]Stanley J. Rosenschein, Leslie Pack Kaelbling: The Synthesis of Digital Machines With Provable Epistemic Properties. TARK 1986: 83-98
Coauthor Index
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last updated on 2013-06-02 21:52 CEST by the dblp team