000			00982nam a22001937a 4500
020			_a9780262039246
082	0	0	_a006.31 _bSUT/R
100	1		_aSutton, Richard S.,
245	1	0	_aReinforcement learning : _ban introduction
250			_a2nd ED
260			_aLondon _bMIT Press _c2018
300			_axxii, 526 p _billustrations (some color) ;
490	0		_aAdaptive computation and machine learning series
504			_aIncludes bibliographical references (pages 481-518) 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."--
650		0	_aReinforcement learning.
700	1		_aBarto, Andrew G.,
942			_cBK
999			_c2683 _d2683