000			01011 a2200229 4500
003			OSt
020			_a9780262039246
040			_cIIT Kanpur
041			_aeng
082			_a006.3 _bSu87r2
100			_aSutton, Richard
245			_aReinforcement learning [2nd ed.] _ban Introduction _cRichard Sutton and Andrew G. Barto
250			_a2nd ed.
260			_bMIT Press _c2020 _aCambridge
300			_axxii, 526p
440			_aAdaptive computation and machine learning
490			_a/ edited by Francis Bach
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			_aReinforcement learning
700			_aBarto, Andrew G.
942			_cBK
999			_c567057 _d567057