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Leslie Pack Kaelbling

Observed names: Kaelbling L.,, Kaelbling, Leslie, Kaelbling, Leslie P, Kaelbling, Leslie P., Kaelbling, Leslie Pack, L. Kaelbling, L. Kaelbling T. Lozano-Perez R. Platt, L. P. Kaelbling, L. Pack Kaelbling, L.P. Kaelbling, LESLIE KAELBLING, Leslie Kaebling, Leslie Kaelbling, Leslie P Kaelbling, Leslie P. Kaelbling, Leslie Pack, Leslie Pack Kaelbling *v, Leslie Pack Kaelbling B, Leslie Pack Kaelblingt, Pack Kaelbling, Leslie, Pack-Kaelbling, Leslie
Observed institutions: Northeastern University, University of Vienna, SRI International, Duke University, Brown University, Nissan (United States), MIT Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Aalborg University, University of California, Berkeley, Stanford University
ORCID: 0000-0001-6054-7145
Observed ORCID: 0000-0001-6054-7145
OpenAlex ID: A5012862284
Reinforcement Learning: A Survey
1996 · L. P. Kaelbling, M. L. Littman, et al. · Journal of Artificial Intelligence Research · 8,971
Planning and acting in partially observable stochastic domains
1998 · Leslie Pack Kaelbling, Michael L. Littman, et al. · Artificial Intelligence · 4,147
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Learning policies for partially observable environments: Scaling up
1995 · Michael L. Littman, Anthony R. Cassandra, et al. · Elsevier eBooks · 659
Learning in Embedded Systems
1993 · Leslie Pack Kaelbling · The MIT Press eBooks · 590
Acting Optimally in Partially Observable Stochastic Domains
1994 · Anthony R. Cassandra, Leslie Pack Kaelbling, et al. · 561
Hierarchical task and motion planning in the now
2011 · Leslie Pack Kaelbling, Tomas Lozano-Perez · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 475
Acting under uncertainty: discrete Bayesian models for mobile-robot navigation
2002 · A.R. Cassandra, L.P. Kaelbling, et al. · IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · 462
On the Complexity of Solving Markov Decision Problems
2013 · Littman, Michael L., Dean, Thomas L., et al. · arXiv (Cornell University) · 424
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Integrated Task and Motion Planning
2021 · Caelan Reed Garrett, Rohan Chitnis, et al. · Annual Review of Control Robotics and Autonomous Systems · 422
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Effective reinforcement learning for mobile robots
2003 · W.D. Smart, L. Pack Kaelbling · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 380
Exact and approximate algorithms for partially observable markov decision processes
1998 · Leslie Pack Kaelbling, Anthony R. Cassandra · 374
Integrated task and motion planning in belief space
2013 · Leslie Pack Kaelbling, Tomás Lozano-Pérez · The International Journal of Robotics Research · 329
Belief space planning assuming maximum likelihood observations
2010 · R. Platt, R. Tedrake, et al. · Robotics: Science and Systems · 303
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The Synthesis of Digital Machines With Provable Epistemic Properties
1986 · Stanley J. Rosenschein, Leslie Pack Kaelbling · Elsevier eBooks · 285
An Architecture for Intelligent Reactive Systems
1987 · Leslie Pack Kaelbling · Elsevier eBooks · 275
Input generalization in delayed reinforcement learning: an algorithm and performance comparisons
1991 · David Chapman, Leslie Pack Kaelbling · 249
From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning
2018 · George Konidaris, Leslie Pack Kaelbling, et al. · Journal of Artificial Intelligence Research · 237
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LQR-RRT*: Optimal sampling-based motion planning with automatically derived extension heuristics
2012 · Alejandro Perez, Robert Platt, et al. · Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · 231
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Hierarchical Solution of Markov Decision Processes using Macro-actions
2013 · Hauskrecht, Milos, Meuleau, Nicolas, et al. · arXiv (Cornell University) · 227
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Learning to Achieve Goals
1993 · Leslie Pack Kaelbling · 224
Learning to Cooperate via Policy Search
2014 · Peshkin, Leonid, Kim, Kee-Eung, et al. · arXiv (Cornell University) · 217
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Practical Reinforcement Learning in Continuous Spaces
2000 · William D. Smart, Leslie Pack Kaelbling · 210
Planning under time constraints in stochastic domains
1995 · Thomas Dean, Leslie Pack Kaelbling, et al. · Artificial Intelligence · 199
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Generalization in Deep Learning
2022 · K. Kawaguchi, Y. Bengio, et al. · Cambridge University Press eBooks · 196
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PDDLStream: Integrating Symbolic Planners and Blackbox Samplers via Optimistic Adaptive Planning
2020 · Caelan Reed Garrett, Tomás Lozano-Pérez, et al. · Proceedings of the International Conference on Automated Planning and Scheduling · 192
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Works count: 500
Citation count: 30,030
H-index: 64
I10-index: 211
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