"Fundamentally, the way we think about it is that we decompose the computation that's in the robot's head now into two parts. The first part is in charge of taking the sequence, the history of actions and observations, and trying to synthesize them into some representation of a belief for a probability distribution about the way the world might be and then another module that takes that belief and decides how to behave."
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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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