Leslie P. Kaelbling

Leslie P. Kaelbling
Leslie P. Kaelbling
Nationality	American
Alma mater	Stanford University
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)
	Scientific career
Fields	Robotics; Computer Science
Institutions	SRI International; Brown University; Massachusetts Institute of Technology
Thesis	Learning in Embedded Systems (1990)
Doctoral advisor	Nils J. Nilsson
Doctoral students	Michael L. Littman; Leonid Peshkin; Kristian Kersting
Website	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 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]

^ "Keynote Plenary - Leslie Pack Kaelbling". 2016 IEEE International Conference on Robotics and Automation. 10 March 2016. Retrieved 12 August 2017.
^ Littman, Michael. "POMDP information page". Rutgers University. Retrieved 12 August 2017.
^ 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.
^ "POMDPS in robotics". University of Queensland. Retrieved 12 August 2017.
^ Sakama, Chiaki. "15th International Joint Conference on Artificial Intelligence". Retrieved 12 August 2017.
^ AAAI Fellows, retrieved 2010-01-25.