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  <title>Reinforcement Learning :</title>
  <subTitle>An Introduction</subTitle>
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  <namePart>Sutton, Richard S.</namePart>
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  <namePart>Barto, Andrew G.</namePart>
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   <publisher>The MIT Press</publisher>
   <dateIssued>2020</dateIssued>
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 <note>Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms.</note>
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  <topic>Learning</topic>
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  <topic>Reinforcement learning</topic>
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