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Record identifier : 568127
Personal Name - Primary Intelectual Responsibility : Jaulmes, Robin
Title and statement of responsibility : Active learning in partially observable Markov decision processes [Thesis]
Publication, Distribution,Etc. : McGill University (Canada, 2006
Language of the Item : eng
Dissertation of thesis details and type of degree : M.Sc
Body granting the degree : , McGill University (Canada
Summary or Abstract : People are efficient when they make decisions under uncertainty, even when their decisions have long-term ramifications, or when their knowledge and their perception of the environment are uncertain. We are able to experiment with the environment and learn, improving our behavior as experience is gathered. Most of the problems we face in real life are of that kind, and most of the problems that an automated agent would face in robotics too..
Topical Name Used as Subject : Computer science
Information of biblio record : TL
 
 
 
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