Leslie P. Kaelbling

Leslie P. Kaelbling
NationalityAmerican
Alma materStanford University
Known forPartially observable Markov decision process
Founder and first editor-in-chief of the Journal of Machine Learning Research
AwardsIJCAI Computers and Thought Award (1997)
AAAI Fellow (2000)
Scientific career
FieldsRobotics
Computer Science
InstitutionsSRI International
Brown University
Massachusetts Institute of Technology
ThesisLearning in Embedded Systems (1990)
Doctoral advisorNils J. Nilsson
Doctoral studentsMichael L. Littman
Leonid Peshkin
Kristian Kersting
Websitepeople.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 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]

  1. ^ "Keynote Plenary - Leslie Pack Kaelbling". 2016 IEEE International Conference on Robotics and Automation. 10 March 2016. Archived from the original on 8 February 2023. 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.