000			01152nam a22002417a 4500
005			20260618163631.0
008			260618m20202018|||||||| |||| 00| 0 eng d
020			_a9780262039246
040			_cPK-LaUMT
082			_a006.31 _bSUT-R
100	1		_aSutton, Richard S. _913090
245	1	0	_aReinforcement learning : _ban introduction / _cRichard S. Sutton and Andrew G. Barto
250			_a2nd ed.
260			_aCambridge : _bThe MIT Press, _c2020
300			_axxii, 526 p.
490			_aAdaptive computation and machine learning
500			_aIncludes bibliographical references and index.
520			_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
546			_aEng
650			_aReinforcement learning _913091
700	1		_aBarto, Andrew G. _913092
942			_cBK
999			_c141239 _d141239