000			03146cam a22006374a 4500
001			musev2_60836
003			MdBmJHUP
005			20240815120749.0
006			m o d
007			cr||||||||nn|n
008			970626s1998 mau o 00 0 eng d
010			_z 97026416
020			_a9780262257053
020			_z026225705X
020			_z9780262193986
035			_a(OCoLC)1053169863
040			_aMdBmJHUP _cMdBmJHUP
100	1		_aSutton, Richard S.
245	1	0	_aReinforcement Learning : _bAn Introduction / _cRichard S. Sutton and Andrew G. Barto.
264		1	_aCambridge, Mass. : _bMIT Press, _c1998.
264		3	_aBaltimore, Md. : _bProject MUSE, _c2018
264		4	_c©1998.
300			_a1 online resource: _billustrations ;
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	0		_aAdaptive computation and machine learning
505	0	0	_tContents -- _tSeries Foreword -- _tPreface -- _gI. _tThe Problem -- _g1. _tIntroduction -- _g2. _tEvaluative Feedback -- _g3. _tThe Reinforcement Learning Problem -- _gII. _tElementary Solution Methods -- _g4. _tDynamic Programming -- _g5. _tMonte Carlo Methods -- _g6. _tTemporal-Difference Learning -- _gIII. _tA Unified View -- _g7. _tEligibility Traces -- _g8. _tGeneralization and Function Approximation -- _g9. _tPlanning and Learning -- _g10. _tDimensions of Reinforcement Learning -- _g11. _tCase Studies -- _tReferences -- _tSummary of Notation -- _tIndex.
506	0		_aOpen Access _fUnrestricted online access _2star
520	1		_a"In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability."--Jacket.
588			_aDescription based on print version record.
650		7	_aReinforcement learning. _2nli
650	0	7	_aIntel·ligencia artificial. _2lemac
650	1	7	_aLeren. _2gtt
650	1	7	_aReinforcement. _2gtt
650	1	7	_aKunstmatige intelligentie. _2gtt
650		7	_aReinforcement learning. _2fast _0(OCoLC)fst01732553
650		7	_aReinforcement learning (Machine learning) _2blmlsh
650		7	_aartificial intelligence. _2aat
650		6	_aRecherche operationnelle.
650		6	_aReconnaissance des formes (Informatique)
650		6	_aIntelligence artificielle.
650		6	_aApprentissage par renforcement (Intelligence artificielle)
650	2	2	_aOperations Research
650	2	2	_aPattern Recognition, Automated
650	1	2	_aArtificial Intelligence
650		0	_aOperations research.
650		0	_aPattern recognition systems.
650		0	_aArtificial intelligence.
650		0	_aReinforcement learning.
655		7	_aElectronic books. _2local
700	1		_aBarto, Andrew G.
710	2		_aProject Muse. _edistributor
830		0	_aBook collections on Project MUSE.
856	4	0	_zFull text available: _uhttps://muse.jhu.edu/book/60836/
999			_c232096 _d232095