Leslie P. Kaelbling

Leslie Pack Kaelbling is an American roboticist and the Panasonic Professor of Computer Science and Engineering at the Massachusetts Institute of Technology. She is widely recognized for adapting partially observable Markov decision processes from operations research for application in artificial intelligence and robotics. Kaelbling received the IJCAI Computers and Thought Award in 1997 for applying reinforcement learning to embedded control systems and developing programming tools for robot navigation. In 2000, she was elected as a Fellow of the Association for the Advancement of Artificial Intelligence. Provided by Wikipedia
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  1. 1
    Learning classifiers from medical data
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  2. 2
    Approximate inference methods for grid-structured MRFs
    by Battocchi, Keith, 1980-
    Published 2005
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  3. 3
    State estimation for a holonomic omniwheel robot using a particle filter
    by Eng, Donald S
    Published 2011
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  4. 4
    Autonomous stair climbing
    by Narendran, Kailas, 1979-
    Published 2006
    Other Authors: “...Jamie Anderson and Leslie Kaelbling....”
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  5. 5
    Integrating Timeliner and autonomous planning
    by Swanton, Daniel Reed
    Published 2008
    Other Authors: “...Robert A. Brown and Leslie Kaelbling....”
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  6. 6
    Relatively robust grasping
    by Hsiao, Kaijen
    Published 2010
    Other Authors: “...Tomás Lozano-Pérez and Leslie Kaelbling....”
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  7. 7
    On learning task-directed motion plans
    by Finney, Sarah, 1974-
    Published 2009
    Other Authors: “...Leslie Kaelbling and Tomás Lozano-Pérez....”
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  8. 8
    Learning a strategy for whole-arm grasping
    by Anders, Ariel (Ariel Sharone)
    Published 2014
    Other Authors: “...Leslie Kaelbling and Tomás Lozano-Pérez....”
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  9. 9
    Representation discovery in non-parametric reinforcement learning
    by Zewdie, Dawit (Dawit Habtamu)
    Published 2014
    Other Authors: “...Leslie Kaelbling and Tomás Lozano-Pérez....”
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