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The top documents tagged [current world state]
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CMSC 671 Fall 2005
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CMSC 671 Fall 2001 Class #3/4 – Monday, September 9 / Wednesday, September 11
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ITCS 3153 Artificial Intelligence
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Learning Equivalent Action Choices from Demonstration (S. Chernova and M. Veloso )
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Problem solving. Building goal-based agents To build a goal-based agent we need to answer the following questions: –What is the goal to be achieved? –What
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CSC 463. Today’s class Goal-based agents Representing states and operators Example problems Generic state-space search algorithm Specific algorithms –Breadth-first
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Uninformed Search
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CMSC 671 Fall 2003
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Bayesian Sensor Fusion for “Dynamic Perception” “Bayesian Occupation Filter paradigm (BOF)”
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Keyan Zahedi , Nihat Ay, Ralf Der (Published on: May 19, 2012) Artificial Neural Network
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