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 processes 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

  • 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. ^ "Keynote Plenary - Leslie Pack Kaelbling". 2016 IEEE International Conference on Robotics and Automation. 10 March 2016. Retrieved 12 August 2017.
  2. ^ Littman, Michael. "POMDP information page". Rutgers University. Retrieved 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. ^ "POMDPS in robotics". University of Queensland. Retrieved 12 August 2017.
  5. ^ Sakama, Chiaki. "15th International Joint Conference on Artificial Intelligence". Retrieved 12 August 2017.
  6. ^ AAAI Fellows, retrieved 2010-01-25.
  7. ^ a b "Leslie Kaelbling". MIT Computer Science and Artificial Intelligence Laboratory. Retrieved 12 August 2017.
  8. ^ Kaelbling, Leslie Pack (1987). "Learning as an Increase in Knowledge". Technical Report, Center for the Study of Language and Information.
  9. ^ "Brown AI: People". Department of Computer Science. Brown University. Retrieved 12 August 2017.
  10. ^ Shieber, Stuart (6 March 2012). "An efficient journal". The Occasional Pamphlet. Retrieved 12 February 2017.
  11. ^ JMLR editorial board, retrieved 2010-01-25.
  12. ^ Robin, Peek (1 December 2001). "Machine Learning's Editorial Board Divided". Information Today. 18 (11).