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 environment simulators from sparse signals

    Learning environment simulators from sparse signals by Shavit, Yonadav Goldwasser

    Published 2018
    Other Authors: “…Leslie P. Kaelbling.…”
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    Thesis
  2. 2
    Vision based robot navigation

    Vision based robot navigation by Roth, Daniel R. (Daniel Risner), 1979-

    Published 2005
    Other Authors: “…Leslie P. Kaelbling.…”
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    Thesis
  3. 3
    Planning with imperfect information : interceptor assignment

    Planning with imperfect information : interceptor assignment by McAllister, Daniel B. (Daniel Brandford)

    Published 2007
    Other Authors: “…Leslie P. Kaelbling.…”
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    Thesis
  4. 4
    Analysis and implementation of distributed algorithms for multi-robot systems

    Analysis and implementation of distributed algorithms for multi-robot systems by McLurkin, James D. (James Dwight), 1972-

    Published 2009
    Other Authors: “…Leslie P. Kaelbling.…”
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    Thesis
  5. 5
    Two new approaches for learning Hidden Markov Models

    Two new approaches for learning Hidden Markov Models by Kim, Hyun Soo, M. Eng. Massachusetts Institute of Technology

    Published 2011
    Other Authors: “…Leslie P. Kaelbling.…”
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    Thesis
  6. 6
    Computability, inference and modeling in probabilistic programming

    Computability, inference and modeling in probabilistic programming by Roy, Daniel Murphy

    Published 2011
    Other Authors: “…Leslie P. Kaelbling.…”
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    Thesis
  7. 7
    Building a computer poker agent with emphasis on opponent modeling

    Building a computer poker agent with emphasis on opponent modeling by Huang, Jian, M. Eng. Massachusetts Institute of Technology

    Published 2014
    Other Authors: “…Leslie P. Kaelbling.…”
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    Thesis
  8. 8
    Modelling the NBA to make better predictions

    Modelling the NBA to make better predictions by Puranmalka, Keshav

    Published 2014
    Other Authors: “…Leslie P. Kaelbling.…”
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    Thesis
  9. 9
    Building local maps for robust visual navigation

    Building local maps for robust visual navigation by Gerstle, Jeremy S. (Jeremy Scott), 1977-

    Published 2014
    Other Authors: “…Leslie P. Kaelbling.…”
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    Thesis
  10. 10
    Optical flow for obstacle detection in mobile robots

    Optical flow for obstacle detection in mobile robots by Steinkraus, Kurt Alan, 1978-

    Published 2014
    Other Authors: “…Leslie P. Kaelbling.…”
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    Thesis
  11. 11
    Image segmentation by texture discrimination using variations of simulated annealing

    Image segmentation by texture discrimination using variations of simulated annealing by Pipes, Mark, 1979-

    Published 2014
    Other Authors: “…Leslie P. Kaelbling.…”
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    Thesis
  12. 12
    Exploring deictic representations in reinforcement learning

    Exploring deictic representations in reinforcement learning by Finney, Sarah, 1974-

    Published 2014
    Other Authors: “…Leslie P. Kaelbling.…”
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    Thesis
  13. 13
    Classification of finger gestures from myoelectric signals

    Classification of finger gestures from myoelectric signals by Ju, Peter M. (Peter Ming-Wei), 1977-

    Published 2005
    Other Authors: “…Leslie P. Kaelbling.…”
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    Thesis
  14. 14
    Latent tree structure learning for cross-document coreference resolution

    Latent tree structure learning for cross-document coreference resolution by Shyu, Eric

    Published 2014
    Other Authors: “…Leslie P. Kaelbling.…”
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    Thesis
  15. 15
    Stupid robot tricks : a behavior-based distributed algorithm library for programming swarms of robots

    Stupid robot tricks : a behavior-based distributed algorithm library for programming swarms of robots by McLurkin, James D. (James Dwight), 1972-

    Published 2005
    Other Authors: “…Leslie P. Kaelbling and David Barrett.…”
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    Thesis
  16. 16
    Towards practical theory : Bayesian optimization and optimal exploration

    Towards practical theory : Bayesian optimization and optimal exploration by Kawaguchi, Kenji, Ph. D. Massachusetts Institute of Technology

    Published 2016
    Other Authors: “…Leslie P. Kaelbling and Tomas Lozano-Perez.…”
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    Thesis
  17. 17
    Dealing with uncertainty : a comparison of robust optimization and partially observable Markov decision processes

    Dealing with uncertainty : a comparison of robust optimization and partially observable Markov decision processes by Horgan, Casey Vi

    Published 2017
    Other Authors: “…Michael J. Ricard and Leslie P. Kaelbling.…”
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    Thesis
  18. 18
    Integrating human-provided information into belief state representation using dynamic factorization

    Integrating human-provided information into belief state representation using dynamic factorization by Chitnis, Rohan

    Published 2018
    Other Authors: “…Leslie P. Kaelbling and Tomás Lozano-Pérez.…”
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    Thesis
  19. 19
    Finding important entities in continuous streaming data

    Finding important entities in continuous streaming data by Alet, Ferran (Alet I Puig)

    Published 2018
    Other Authors: “…Leslie P. Kaelbling and Tomás Lozano-Pérez.…”
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    Thesis
  20. 20
    A deep learning approach to state estimation from videos

    A deep learning approach to state estimation from videos by Doshi, Chandani

    Published 2018
    Other Authors: “…Rebecca L. Russell and Leslie P. Kaelbling.…”
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    Thesis

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