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词条 Leslie P. Kaelbling
释义

  1. Career

  2. Journal of Machine Learning Research

  3. Selected works

  4. References

{{Infobox scientist
| name = Leslie P. Kaelbling
| image =
| image_size =
| alt =
| caption =
| birth_date =
| birth_place =
| death_date =
| death_place =
| nationality = American
| fields = Robotics
Computer Science
| work_institutions = SRI International
Brown University
Massachusetts Institute of Technology
| alma_mater = Stanford University
| doctoral_advisor = Nils J. Nilsson
| doctoral_students = Michael L. Littman
Hagit Shatkay
Leonid Peshkin
| thesis_title = Learning in Embedded Systems
| thesis_year = 1990
| thesis_url = http://search.proquest.com/docview/303871770/
| known_for = Partially observable Markov decision process
Founder and first editor-in-chief of the Journal of Machine Learning Research
| awards = IJCAI Computers and Thought Award (1997)
AAAI Fellow (2000)
| website = {{URL|http://people.csail.mit.edu/lpk/}}
}}Leslie Pack Kaelbling is an American roboticist and the Panasonic Professor of Computer Science and Engineering at the Massachusetts Institute of Technology.[1] She is widely recognized for adapting partially observable Markov decision process from operations research for application in artificial intelligence and robotics.[2][3][4] 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.[5] In 2000, she was elected as a Fellow of the Association for the Advancement of Artificial Intelligence.[6]

Career

Kaelbling received an A. B. in Philosophy in 1983 and a Ph. D. in Computer Science in 1990, both from Stanford University.[7] During this time she was also affiliated with the Center for the Study of Language and Information.[8] She then worked at SRI International and the affiliated robotics spin-off Teleos Research before joining the faculty at Brown University. She left Brown in 1999 to join the faculty at MIT.[9] Her research focuses on decision-making under uncertainty, machine learning, and sensing with applications to robotics.[7]

Journal of Machine Learning Research

In the spring of 2000, she and two-thirds of the editorial board of the Kluwer-owned journal Machine Learning resigned in protest to its pay-to-access archives with simultaneously limited financial compensation for authors.[10] Kaelbling co-founded and served as the first editor-in-chief of the Journal of Machine Learning Research, a peer-reviewed open access journal on the same topics which allows researchers to publish articles for free and retain copyright with its archives freely available online.[11] In response to the mass resignation, Kluwer changed their publishing policy to allow authors to self-archive their papers online after peer-review. Kaelbling responded that this policy was reasonable and would have made the creation of an alternative journal unnecessary, but the editorial board members had made it clear they wanted such a policy and it was only after the threat of resignations and the actual founding of JMLR that the publishing policy finally changed.[12]

Selected works

  • [https://www.jair.org/media/301/live-301-1562-jair.pdf Reinforcement Learning: A Survey] (LP Kaelbling, ML Littman, AW Moore). Journal of Artificial Intelligence Research (JAIR) 4 (1996) 237-285.

A highly cited survey on the field of reinforcement learning.

  • Planning and acting in partially observable stochastic domains (LP Kaelbling, ML Littman, AR Cassandra). Artificial intelligence 101 (1), 99-134.
  • Acting under uncertainty: Discrete Bayesian models for mobile-robot navigation (AR Cassandra, LP Kaelbling, JA Kurien). Intelligent Robots and Systems (2) 963-972.
  • The synthesis of digital machines with provable epistemic properties (SJ Rosenschein, LP Kaelbling). Proceedings of the 1986 Conference on Theoretical Aspects of Reasoning about Knowledge, 83-98.
  • Practical reinforcement learning in continuous spaces (WD Smart, LP Kaelbling). 2000 International Conference on Machine Learning (ICML), 903-910.
  • Hierarchical task and motion planning in the now (LP Kaelbling, T Lozano-Pérez). 2011 IEEE International Conference on Robotics and Automation (ICRA), 1470-1477.

References

1. ^{{cite web|title=Keynote Plenary - Leslie Pack Kaelbling|url=https://www.icra2016.org/conference/keynotes-plenaries/leslie-pack-kaelbling/|website=2016 IEEE International Conference on Robotics and Automation|accessdate=12 August 2017|date=10 March 2016}}
2. ^{{cite web|last1=Littman|first1=Michael|title=POMDP information page|url=https://www.cs.rutgers.edu/~mlittman/topics/pomdp-page.html|website=Rutgers University|accessdate=12 August 2017}}
3. ^TOMAS LOZANO-PEREZ: An Interview Conducted by Selma Šabanovic with Matthew R. Francisco, IEEE History Center, 28 August 2011. Interview #733 for Indiana University and IEEE History Center, The Institute of Electrical and Electronics Engineers Inc.
4. ^{{cite web|title=POMDPS in robotics|url=http://robotics.itee.uq.edu.au/~PomdpInRobotics/doku.php/schedule?id=page|website=University of Queensland|accessdate=12 August 2017|language=en}}
5. ^{{cite web|last1=Sakama|first1=Chiaki|title=15th International Joint Conference on Artificial Intelligence|url=http://www.cs.ucy.ac.cy/compulog/newpage17.htm|accessdate=12 August 2017}}
6. ^AAAI Fellows, retrieved 2010-01-25.
7. ^{{cite web|title=Leslie Kaelbling|url=https://www.csail.mit.edu/user/808|website=MIT Computer Science and Artificial Intelligence Laboratory|accessdate=12 August 2017}}
8. ^{{cite journal|last1=Kaelbling|first1=Leslie Pack|title=Learning as an Increase in Knowledge|journal=Technical report, Center for the Study of Language and Information|date=1987}}
9. ^{{cite web|title=Brown AI: People|url=https://cs.brown.edu/research/ai/people.html|website=Department of Computer Science|publisher=Brown University|accessdate=12 August 2017}}
10. ^{{cite web |last1=Shieber |first1=Stuart |title=An efficient journal |url=https://blogs.harvard.edu/pamphlet/2012/03/06/an-efficient-journal/ |website=The Occasional Pamphlet |accessdate=12 February 2017 |date=6 March 2012}}
11. ^JMLR editorial board, retrieved 2010-01-25.
12. ^{{cite journal|last1=Robin|first1=Peek|title=Machine Learning's Editorial Board Divided|journal=Information Today|date=1 December 2001|volume=18|issue=11|url=https://www.questia.com/magazine/1P3-95801675/machine-learning-s-editorial-board-divided|language=en}}
{{Robotics}}{{Authority control}}{{DEFAULTSORT:Kaelbling, Leslie P.}}

13 : Year of birth missing (living people)|Living people|American roboticists|Women in computing|Women computer scientists|Massachusetts Institute of Technology faculty|Fellows of the Association for the Advancement of Artificial Intelligence|Machine learning researchers|Computer science educators|Stanford University alumni|SRI International people|Brown University faculty|Artificial intelligence researchers

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