Leslie Kaelbling - Publications

Affiliations: 
Massachusetts Institute of Technology, Cambridge, MA, United States 

34/106 high-probability publications. We are testing a new system for linking publications to authors. You can help! If you notice any inaccuracies, please sign in and mark papers as correct or incorrect matches. If you identify any major omissions or other inaccuracies in the publication list, please let us know.

Year Citation  Score
2019 Amato C, Konidaris G, Kaelbling LP, How JP. Modeling and Planning with Macro-Actions in Decentralized POMDPs. The Journal of Artificial Intelligence Research. 64: 817-859. PMID 31656393 DOI: 10.1613/Jair.1.11418  0.469
2018 Konidaris G, Kaelbling LP, Lozano-Perez T. From Skills to Symbols: Learning Symbolic Representations for Abstract High-Level Planning Journal of Artificial Intelligence Research. 61: 215-289. DOI: 10.1613/Jair.5575  0.366
2015 Garrett CR, Lozano-Pérez T, Kaelbling LP. Backward-forward search for manipulation planning Ieee International Conference On Intelligent Robots and Systems. 2015: 6366-6373. DOI: 10.1109/IROS.2015.7354287  0.317
2015 Amato C, Konidaris G, Cruz G, Maynor CA, How JP, Kaelbling LP. Planning for decentralized control of multiple robots under uncertainty Proceedings - Ieee International Conference On Robotics and Automation. 2015: 1241-1248. DOI: 10.1109/ICRA.2015.7139350  0.356
2015 Konidaris G, Kaelbling LP, Lozano-Perez T. Symbol acquisition for probabilistic high-level planning Ijcai International Joint Conference On Artificial Intelligence. 2015: 3619-3627.  0.392
2015 Amato C, Konidaris G, Omidshafiei S, Agha-Mohammadi AA, How JP, Kaelbling LP. Probabilistic planning for decentralized multi-robot systems Aaai Fall Symposium - Technical Report. 10-12.  0.314
2014 Konidaris G, Kaelbling LP, Lozano-Perez T. Constructing symbolic representations for high-level planning Proceedings of the National Conference On Artificial Intelligence. 3: 1932-1938B.  0.41
2013 Kaelbling LP, Lozano-Pérez T. Integrated task and motion planning in belief space International Journal of Robotics Research. 32: 1194-1227. DOI: 10.1177/0278364913484072  0.322
2013 Levihn M, Kaelbling LP, Lozano-Perez T, Stilman M. Foresight and reconsideration in hierarchical planning and execution Ieee International Conference On Intelligent Robots and Systems. 224-231. DOI: 10.1109/IROS.2013.6696357  0.306
2013 Hadfield-Menell D, Kaelbling LP, Lozano-Perez T. Optimization in the now: Dynamic peephole optimization for hierarchical planning Proceedings - Ieee International Conference On Robotics and Automation. 4560-4567. DOI: 10.1109/ICRA.2013.6631225  0.362
2013 Konidaris G, Kaelbling LP, Lozano-Perez T. Symbol acquisition for task-level planning Aaai Workshop - Technical Report. 9-15.  0.37
2012 Kaelbling LP, Lozano-Pérez T. Unifying perception, estimation and action for mobile manipulation via belief space planning Proceedings - Ieee International Conference On Robotics and Automation. 2952-2959. DOI: 10.1109/ICRA.2012.6225237  0.323
2012 Platt R, Kaelbling L, Lozano-Perez T, Tedrake R. Non-Gaussian belief space planning: Correctness and complexity Proceedings - Ieee International Conference On Robotics and Automation. 4711-4717. DOI: 10.1109/ICRA.2012.6225223  0.308
2012 Macindoe O, Kaelbling LP, Lozano-Pérez T. POMCoP: Belief space planning for sidekicks in cooperative games Proceedings of the 8th Aaai Conference On Artificial Intelligence and Interactive Digital Entertainment, Aiide 2012. 38-43.  0.34
2012 Oliehoek FA, Witwicki SJ, Kaelbling LP. Influence-based abstraction for multiagent systems Proceedings of the National Conference On Artificial Intelligence. 2: 1422-1428.  0.428
2012 Macindoe O, Kaelbling LP, Lozano-Perez T. Assistant agents for sequential planning problems Aaai Workshop - Technical Report. 27-30.  0.416
2012 Witwicki SJ, Oliehoek FA, Kaelbling LP. Heuristic search of multiagent influence space 11th International Conference On Autonomous Agents and Multiagent Systems 2012, Aamas 2012: Innovative Applications Track. 1: 200-207.  0.313
2010 Aha DW, Boddy M, Bulitko V, D'Avila Garcez AS, Doshi P, Edelkamp S, Geib C, Gmytrasiewicz P, Goldman RP, Halevy A, Hitzler P, Isbell C, Josyula D, Kaelbling LP, Kersting K, et al. Reports of the AAAI 2010 conference workshops Ai Magazine. 31: 95-104. DOI: 10.1609/Aimag.V31I4.2318  0.378
2009 Zettlemoyer LS, Milch B, Kaelbling LP. Multi-agent filtering with infinitely nested beliefs Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1905-1912.  0.37
2007 Pasula HM, Zettlemoyer LS, Kaelbling LP. Learning symbolic models of stochastic domains Journal of Artificial Intelligence Research. 29: 309-352. DOI: 10.1613/Jair.2113  0.373
2007 Gardiol NH, Kaelbling LP. Action-space partitioning for planning Proceedings of the National Conference On Artificial Intelligence. 2: 980-986.  0.323
2007 Zarybnisky E, Armacost A, Kolitz S, Barnhart C, Kaelbling L. Allocation of air resources against an intelligent adversary Collection of Technical Papers - 2007 Aiaa Infotech At Aerospace Conference. 1: 918-947.  0.312
2004 Gardiol NH, Kaelbling LP. Envelope-based planning in relational MDPs Advances in Neural Information Processing Systems 0.362
2004 Pasula HM, Zettlemoyer LS, Kaelbling LP. Learning probabilistic relational planning rules Proceedings of the 14th International Conference On Automated Planning and Scheduling, Icaps 2004. 73-81.  0.308
2004 Chang YH, Ho T, Kaelbling LP. All learning is local: Multi-agent learning in global reward games Advances in Neural Information Processing Systems 0.3
2002 Shatkay H, Kaelbling LP. Learning geometrically-constrained Hidden Markov models for robot navigation: Bridging the topological-geometrical gap Journal of Artificial Intelligence Research. 16: 167-207.  0.324
1998 Kaelbling LP, Littman ML, Cassandra AR. Planning and acting in partially observable stochastic domains Artificial Intelligence. 101: 99-134. DOI: 10.1016/S0004-3702(98)00023-X  0.546
1996 Kaelbling LP, Littman ML, Moore AW. Reinforcement learning: A survey Journal of Artificial Intelligence Research. 4: 237-285. DOI: 10.1613/Jair.301  0.496
1996 Kaelbling LP, Littman ML, Cassandra AR. Partially observable Markov decision processes for artificial intelligencea Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 1093: 146-163. DOI: 10.1007/BFb0013957  0.527
1995 Rosenschein SJ, Kaelbling LP. A situated view of representation and control Artificial Intelligence. 73: 149-173. DOI: 10.1016/0004-3702(94)00056-7  0.581
1995 Basye K, Dean T, Kaelbling LP. Learning dynamics: system identification for perceptually challenged agents Artificial Intelligence. 72: 139-171. DOI: 10.1016/0004-3702(94)00023-T  0.365
1991 Kaelbling LP. A situated-automata approach to the design of embedded agents Acm Sigart Bulletin. 2: 85-88. DOI: 10.1145/122344.122361  0.406
1991 Kaelbling LP. Foundations of learning in autonomous agents Robotics and Autonomous Systems. 8: 131-144. DOI: 10.1016/0921-8890(91)90018-G  0.373
1990 Kaelbling LP, Rosenschein SJ. Action and planning in embedded agents Robotics and Autonomous Systems. 6: 35-48. DOI: 10.1016/S0921-8890(05)80027-2  0.584
Low-probability matches (unlikely to be authored by this person)
2011 Platt R, Tedrake R, Kaelbling L, Lozano-Pérez T. Belief space planning assuming maximum likelihood observations Robotics: Science and Systems. 6: 291-298.  0.3
2005 Chang YH, Kaelbling LP. Hedged learning: Regret-minimization with learning experts Icml 2005 - Proceedings of the 22nd International Conference On Machine Learning. 121-128.  0.291
1995 Dean T, Kaelbling LP, Kirman J, Nicholson A. Planning under time constraints in stochastic domains Artificial Intelligence. 76: 35-74. DOI: 10.1016/0004-3702(94)00086-G  0.29
2014 Amato C, Konidaris GD, Kaelbling LP. Planning with macro-actions in decentralized POMDPs 13th International Conference On Autonomous Agents and Multiagent Systems, Aamas 2014. 2: 1273-1280.  0.287
2008 Varshavskaya P, Kaelbling LP, Rus D. Automated design of adaptive controllers for modular robots using reinforcement learning International Journal of Robotics Research. 27: 505-526. DOI: 10.1177/0278364907084983  0.282
2010 Brunskill E, Kaelbling LP, Lozano-Pérez T, Roy N. Planning in partially-observable switching-mode continuous domains Annals of Mathematics and Artificial Intelligence. 58: 185-216. DOI: 10.1007/S10472-010-9202-1  0.282
2007 Hsiao K, Kaelbling LP, Lozano-Pérez T. Grasping POMDPs Proceedings - Ieee International Conference On Robotics and Automation. 4685-4692. DOI: 10.1109/ROBOT.2007.364201  0.278
2007 Deshpande A, Milch B, Zettlemoyer LS, Kaelbling LP. Learning probabilistic relational dynamics for multiple tasks Proceedings of the 23rd Conference On Uncertainty in Artificial Intelligence, Uai 2007. 83-92.  0.278
2009 Varshavskaya P, Kaelbling LP, Rus D. Efficient distributed reinforcement learning through agreement Distributed Autonomous Robotic Systems 8. 367-378. DOI: 10.1007/978-3-642-00644-9-33  0.274
2002 Chang YH, Kaelbling LP. Playing is believing: The role of beliefs in multi-agent learning Advances in Neural Information Processing Systems 0.269
2011 Nguyen THD, Hsu D, Lee WS, Leong TY, Kaelbling LP, Lozano-Perez T, Grant AH. CAPIR: Collaborative action planning with intention recognition Proceedings of the 7th Aaai Conference On Artificial Intelligence and Interactive Digital Entertainment, Aiide 2011. 61-66.  0.269
2019 Kim B, Kaelbling LP, Lozano-Pérez T. Adversarial Actor-Critic Method for Task and Motion Planning Problems Using Planning Experience Proceedings of the Aaai Conference On Artificial Intelligence. 33: 8017-8024. DOI: 10.1609/AAAI.V33I01.33018017  0.267
2014 Barragán PR, Kaelbling LP, Lozano-Pérez T. Interactive Bayesian identification of kinematic mechanisms Proceedings - Ieee International Conference On Robotics and Automation. 2013-2020. DOI: 10.1109/ICRA.2014.6907126  0.263
2004 Chang YH, Ho T, Kaelbling LP. Multi-agent learning in mobilized ad-hoc networks Aaai Fall Symposium - Technical Report. 81-88.  0.263
2015 Lee G, Lozano-Pérez T, Kaelbling LP. Hierarchical planning for multi-contact non-prehensile manipulation Ieee International Conference On Intelligent Robots and Systems. 2015: 264-271. DOI: 10.1109/IROS.2015.7353384  0.263
2013 Barry J, Kaelbling LP, Lozano-Perez T. A hierarchical approach to manipulation with diverse actions Proceedings - Ieee International Conference On Robotics and Automation. 1799-1806. DOI: 10.1109/ICRA.2013.6630814  0.262
2004 Theocharous G, Kaelbling LP. Approximate planning in POMDPs with macro-actions Advances in Neural Information Processing Systems 0.262
2001 Lane T, Kaelbling LP. Approaches to macro decompositions of large Markov decision process planning problems Proceedings of Spie - the International Society For Optical Engineering. 4573: 104-113. DOI: 10.1117/12.457435  0.261
2014 Lozano-Pérez T, Kaelbling LP. A constraint-based method for solving sequential manipulation planning problems Ieee International Conference On Intelligent Robots and Systems. 3684-3691. DOI: 10.1109/IROS.2014.6943079  0.259
2016 Amato C, Konidaris G, Anders A, Cruz G, How JP, Kaelbling LP. Policy search for multi-robot coordination under uncertainty The International Journal of Robotics Research. 35: 1760-1778. DOI: 10.1177/0278364916679611  0.257
2005 Zettlemoyer LS, Pasula HM, Kaelbling LP. Learning planning rules in noisy stochastic worlds Proceedings of the National Conference On Artificial Intelligence. 2: 911-918.  0.256
2010 Kaelbling LP, Lozano-Pérez T. Hierarchical task and motion planning in the now Aaai Workshop - Technical Report. 33-42. DOI: 10.1109/ICRA.2011.5980391  0.252
2008 Brunskill E, Kaelbling L, Lozano-Perez T, Roy N. Continuous-state POMDPs with hybrid dynamics 10th International Symposium On Artificial Intelligence and Mathematics, Isaim 2008 0.251
2012 Perez A, Platt R, Konidaris G, Kaelbling L, Lozano-Perez T. LQR-RRT*: Optimal sampling-based motion planning with automatically derived extension heuristics Proceedings - Ieee International Conference On Robotics and Automation. 2537-2542. DOI: 10.1109/ICRA.2012.6225177  0.25
2008 Finney S, Kaelbling L, Lozano-Pérez T. Predicting partial paths from planning problem parameters Robotics: Science and Systems. 3: 41-48.  0.249
1995 Dean T, Angluin D, Basye K, Engelson S, Kaelbling L, Kokkevis E, Maron O. Inferring Finite Automata with Stochastic Output Functions and an Application to Map Learning Machine Learning. 18: 81-108. DOI: 10.1023/A:1022874607797  0.241
2020 Kim B, Lee K, Lim S, Kaelbling L, Lozano-Perez T. Monte Carlo Tree Search in Continuous Spaces Using Voronoi Optimistic Optimization with Regret Bounds Proceedings of the Aaai Conference On Artificial Intelligence. 34: 9916-9924. DOI: 10.1609/aaai.v34i06.6546  0.237
2018 Garrett CR, Lozano-Pérez T, Kaelbling LP. Sampling-based methods for factored task and motion planning The International Journal of Robotics Research. 37: 1796-1825. DOI: 10.1177/0278364918802962  0.235
1994 Kaelbling LP. Associative Reinforcement Learning: A Generate and Test Algorithm Machine Learning. 15: 299-319. DOI: 10.1023/A:1022642026684  0.234
2011 Hsiao K, Kaelbling LP, Lozano-Pérez T. Robust grasping under object pose uncertainty Autonomous Robots. 31: 253-268. DOI: 10.1007/S10514-011-9243-2  0.234
1996 Mahadevan S, Kaelbling LP. The National Science Foundation Workshop on reinforcement learning Ai Magazine. 17: 89-97.  0.232
2013 Holladay A, Barry J, Kaelbling LP, Lozano-Perez T. Object placement as inverse motion planning Proceedings - Ieee International Conference On Robotics and Automation. 3715-3721. DOI: 10.1109/ICRA.2013.6631099  0.231
1999 Moore AW, Baird LC, Kaelbling L. Multi-value-functions: Efficient automatic action hierarchies for multiple goal MDPs Ijcai International Joint Conference On Artificial Intelligence. 2: 1318-1321.  0.231
2011 Hsiao K, Kaelbling LP, Lozano-Pérez T. Task-driven tactile exploration Robotics: Science and Systems. 6: 225-232.  0.227
1994 Kaelbling LP. Associative Reinforcement Learning: Functions in k-DNF Machine Learning. 15: 279-298. DOI: 10.1023/A:1022689909846  0.224
2004 Theocharous G, Murphy K, Kaelbling LP. Representing hierarchical POMDPs as DBNs for multi-scale robot localization Proceedings - Ieee International Conference On Robotics and Automation. 2004: 1045-1051.  0.219
2017 Garrett CR, Lozano-Pérez T, Kaelbling LP. FFRob: Leveraging symbolic planning for efficient task and motion planning The International Journal of Robotics Research. 37: 104-136. DOI: 10.1177/0278364917739114  0.219
1997 Shatkay H, Kaelbling LP. Learning topological maps with weak local odometric information Ijcai International Joint Conference On Artificial Intelligence. 2: 920-927.  0.218
2015 Garrett CR, Lozano-Pérez T, Kaelbling LP. FFRob: An efficient heuristic for task and motion planning Springer Tracts in Advanced Robotics. 107: 179-195. DOI: 10.1007/978-3-319-16595-0_11  0.218
2019 Kim B, Wang Z, Kaelbling LP, Lozano-Pérez T. Learning to guide task and motion planning using score-space representation The International Journal of Robotics Research. 38: 793-812. DOI: 10.1177/0278364919848837  0.217
2010 Temizer S, Kochenderfer MJ, Kaelbling LP, Lozano-Pérez T, Kuchar JK. Collision avoidance for unmanned aircraft using Markov Decision Processes Aiaa Guidance, Navigation, and Control Conference. DOI: 10.2514/6.2010-8040  0.21
2015 Wong LLS, Kaelbling LP, Lozano-Pérez T. Data association for semantic world modeling from partial views International Journal of Robotics Research. 34: 1064-1082. DOI: 10.1177/0278364914559754  0.206
2014 Wong LLS, Kaelbling LP, Lozano-Pérez T. Not seeing is also believing: Combining object and metric spatial information Proceedings - Ieee International Conference On Robotics and Automation. 1253-1260. DOI: 10.1109/ICRA.2014.6907014  0.199
2018 Axelrod B, Kaelbling LP, Lozano-Pérez T. Provably safe robot navigation with obstacle uncertainty The International Journal of Robotics Research. 37: 1760-1774. DOI: 10.1177/0278364918778338  0.197
2002 Smart WD, Kaelbling LP. Effective reinforcement learning for mobile robots Proceedings - Ieee International Conference On Robotics and Automation. 4: 3404-3410.  0.196
2004 Varshavskaya P, Kaelbling LP, Rus D. Learning distributed control for modular robots 2004 Ieee/Rsj International Conference On Intelligent Robots and Systems (Iros). 3: 2648-2653.  0.194
2011 Barry JL, Kaelbling LP, Lozano-Pérez T. DetH*: Approximate hierarchical solution of large markov decision processes Ijcai International Joint Conference On Artificial Intelligence. 1928-1935. DOI: 10.5591/978-1-57735-516-8/IJCAI11-323  0.19
2013 Wong LLS, Kaelbling LP, Lozano-Perez T. Manipulation-based active search for occluded objects Proceedings - Ieee International Conference On Robotics and Automation. 2814-2819. DOI: 10.1109/ICRA.2013.6630966  0.183
2016 Nie X, Wong LLS, Kaelbling LP. Searching for physical objects in partially known environments Proceedings - Ieee International Conference On Robotics and Automation. 2016: 5403-5410. DOI: 10.1109/ICRA.2016.7487752  0.179
2007 Roy DM, Kaelbling LP. Efficient Bayesian task-level transfer learning Ijcai International Joint Conference On Artificial Intelligence. 2599-2604.  0.176
2002 Lane T, Kaelbling LP. Nearly deterministic abstractions of Markov decision processes Proceedings of the National Conference On Artificial Intelligence. 260-266.  0.172
2001 Smart WD, Kaelbling LP. Reinforcement learning for robot control Proceedings of Spie - the International Society For Optical Engineering. 4573: 92-103. DOI: 10.1117/12.457434  0.159
2001 Temizer S, Kaelbling LP. Holonomic planar motion from non-holonomic driving mechanisms: The front-point method Proceedings of Spie - the International Society For Optical Engineering. 4573: 56-67. DOI: 10.1117/12.457456  0.156
2012 Wong LLS, Kaelbling LP, Lozano-Pérez T. Collision-free state estimation Proceedings - Ieee International Conference On Robotics and Automation. 223-228. DOI: 10.1109/ICRA.2012.6225309  0.151
2020 Kaelbling LP. The foundation of efficient robot learning. Science (New York, N.Y.). 369: 915-916. PMID 32820109 DOI: 10.1126/science.aaz7597  0.148
2008 Milch B, Zettlemoyer LS, Kersting K, Haimes M, Kaelbling LP. Lifted probabilistic inference with counting formulas Proceedings of the National Conference On Artificial Intelligence. 2: 1062-1068.  0.147
2007 Chiu HP, Kaelbling LP, Lozano-Pérez T. Virtual training for multi-view object class recognition Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. DOI: 10.1109/CVPR.2007.383044  0.146
2019 Kawaguchi K, Huang J, Kaelbling LP. Every Local Minimum Value Is the Global Minimum Value of Induced Model in Nonconvex Machine Learning. Neural Computation. 1-31. PMID 31614105 DOI: 10.1162/neco_a_01234  0.14
2005 Ross MG, Kaelbling LP. Learning static object segmentation from motion segmentation Proceedings of the National Conference On Artificial Intelligence. 2: 956-961.  0.133
2010 Kaelbling LP. Technical perspective new bar set for intelligent vehicles Communications of the Acm. 53: 98. DOI: 10.1145/1721654.1721676  0.129
2004 Chang YH, Ho T, Kaelbling LP. Mobilized ad-hoc networks: A reinforcement learning approach Proceedings - International Conference On Autonomic Computing. 240-247.  0.128
2009 Chiu HP, Kaelbling LP, Lozano-Pérez T. Learning to generate novel views of objects for class recognition Computer Vision and Image Understanding. 113: 1183-1197. DOI: 10.1016/J.Cviu.2009.06.004  0.122
1996 Kaelbling LP. Machine Learning. 22: 7-9. DOI: 10.1023/A:1018091703869  0.12
2015 Kawaguchi K, Kaelbling LP, Lozano-Pérez T. Bayesian optimization with exponential convergence Advances in Neural Information Processing Systems. 2015: 2809-2817.  0.117
1998 Duchon AP, Kaelbling LP, Warren WH. Ecological robotics Adaptive Behavior. 6: 473-507.  0.107
2019 Kawaguchi K, Huang J, Kaelbling LP. Effect of Depth and Width on Local Minima in Deep Learning. Neural Computation. 1-37. PMID 31120383 DOI: 10.1162/neco_a_01195  0.107
2014 Hollingsworth N, Meyer J, McGee R, Doering J, Konidaris G, Kaelbling L. Optimizing a start-stop controller using policy search Proceedings of the National Conference On Artificial Intelligence. 4: 2984-2989.  0.096
2009 Ross MG, Kaelbling LP. Segmentation according to natural examples: learning static segmentation from motion segmentation. Ieee Transactions On Pattern Analysis and Machine Intelligence. 31: 661-76. PMID 19229082 DOI: 10.1109/TPAMI.2008.109  0.094
2010 Chiu HP, Liu H, Kaelbling LP, Lozano-Pérez T. Class-specific grasping of 3D objects from a single 2D image Ieee/Rsj 2010 International Conference On Intelligent Robots and Systems, Iros 2010 - Conference Proceedings. 579-585. DOI: 10.1109/IROS.2010.5652597  0.066
2010 Kersting K, Russell S, Kaelbling LP, Halevy A, Natarajan S, Mihalkova L. AAAI Workshop - Technical Report: Preface Aaai Workshop - Technical Report. vii.  0.049
2014 Glover J, Kaelbling LP. Tracking the spin on a ping pong ball with the quaternion Bingham filter Proceedings - Ieee International Conference On Robotics and Automation. 4133-4140. DOI: 10.1109/ICRA.2014.6907460  0.01
2011 Wingate D, Goodman ND, Roy DM, Kaelbling LP, Tenenbaum JB. Bayesian policy search with policy priors Ijcai International Joint Conference On Artificial Intelligence. 1565-1570. DOI: 10.5591/978-1-57735-516-8/IJCAI11-263  0.01
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