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 |
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. Archived from the original on 8 February 2023. 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.