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Reinforcement Learning: A SurveyJournal of Artificial Intelligence Research, Vol. 4 (1996), pp. 237-285.
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Find related articles from these CiteULike users Find related articles with these CiteULike tags AbstractThis paper surveys the field of reinforcement learning from a computer-science perspective. It is written to be accessible to researchers familiar with machine learning. Both the historical basis of the field and a broad selection of currentwork are summarized. Reinforcement learning is the problem faced by an agent that learns behavior through trial-and-error interactions with a dynamic environment. The work described here has a resemblance to work in psychology, but differs considerably in...
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