"So I imagine that there's some distribution over possible environments that the robot could find itself in when it actually goes out into the world, right? So maybe it's going to go to houses and the houses are all somewhat different. And once I put that program in the house, maybe it's going to do some estimation or learning. It's going to adapt to the circumstances it's in. My job is to find a program that does a good job of adapting in all the environments that might find itself in."
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Computer scientists from the United StatesWomen academics from the United StatesStanford University alumniWomen scientists from the United StatesMassachusetts Institute of Technology faculty
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Leslie P. Kaelbling
Leslie Pack Kaelbling is an American roboticist and the Panasonic Professor of Computer Science and Engineering at the Massachusetts Institute of Technology. She is widely recognized for adapting partially observable Markov decision processes from operations research for application in artificial intelligence and robotics. Kaelbling received the IJCAI Computers and Thought Award in 1997 for applying reinforcement learning to embedded control systems and developing programming tools for robot nav
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