"So I'm still there, OK? So I'm still in I'm still trying to figure out how we can design an architecture that can learn efficiently. And so the research strategy that I have really adopted, I work closely with a colleague, Tomás Lozano-Pérez. Our strategy has been the following, which is to try to think of some very generic representation and inference mechanisms and build those in and then figure out how to learn the rest of the stuff. And we're all used to I think by now the idea of some representation that inference mechanisms that we would want to build 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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