01081nam a22002177a 450000500170000000800410001702000180005804000130007608200180008910000230010724500870013025000120021726000380022930000170026749000460028450000510033052004260038154600080080765000270081570000210084220260618163631.0260618m20202018|||||||| |||| 00| 0 eng d  a9780262039246  cPK-LaUMT  a006.31bSUT-R1 aSutton, Richard S.10aReinforcement learning :ban introduction /cRichard S. Sutton and Andrew G. Barto  a2nd ed.  aCambridge :bThe MIT Press,c2020  axxii, 526 p.  aAdaptive computation and machine learning  aIncludes bibliographical references and index.  a"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."-- Provided by publisher  aEng  aReinforcement learning1 aBarto, Andrew G.