000			03018cam a2200589 i 4500
999			_c93949 _d93949
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005			20260227113151.0
006			m o d
007			cr |||||||||||
008			220915s2023 mau ob 001 0 eng
010			_a 2022033241
020			_a9780262374026 _qelectronic book
020			_a0262374021 _qelectronic book
020			_a0262374013
020			_a9780262374019 _q(electronic bk.)
020			_z9780262048019 _qhardcover
035		9	_a(OCLCCM-CC)1350431122
035			_a(OCoLC)1350431122
037			_a14207 _bMIT Press
037			_a9780262374026 _bMIT Press
040			_aDLC _beng _erda _cDLC _dOCLCF _dMITPR _dYDX _dN$T _dMTH _dEBLCP _dOCLCQ
041			_aeng
042			_apcc
049			_aMAIN
050	0	0	_aQ325.6 _b.B45 2023
082	0	0	_223 _a502.84
100	1		_aBellemare, Marc G., _eauthor. _0http://id.loc.gov/authorities/names/n2022049687
245	1	0	_aDistributional reinforcement learning / _cMarc G. Bellemare, Will Dabney, Mark Rowland.
264		1	_aCambridge, Massachusetts : _bThe MIT Press, _c[2023]
300			_a1 online resource.
336			_atext _btxt _2rdacontent
337			_acomputer _bc _2rdamedia
338			_aonline resource _bcr _2rdacarrier
490	1		_aAdaptive computation and machine learning
504			_aIncludes bibliographical references and index.
505	0		_aThe Distribution of Returns -- Learning the Return Distribution -- Operators and Metrics -- Distributional Dynamic Programming -- Incremental Algorithms -- Control -- Statistical Functionals -- Linear Function Approximation -- Deep Reinforcement Learning -- Two Applications and a Conclusion
520			_a"Distributional reinforcement learning provides a mathematical theory to describe the random outcomes caused by an agent's decisions"-- _cProvided by publisher.
540			_aCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 International _f CC BY-NC-ND 4.0 _uhttps://creativecommons.org/licenses/BY-NC-ND/4.0/
588			_aDescription based upon online resource; title from PDF title page (viewed May 14th, 2023).
650		0	_aReinforcement learning. _0http://id.loc.gov/authorities/subjects/sh92000704
650		0	_aReinforcement learning _xStatistical methods.
650		7	_aReinforcement learning. _2fast _0(OCoLC)fst01732553
653			_aCOMPUTERS / Data Science / Machine Learning
653			_aMATHEMATICS / Probability & Statistics / General
653			_aCOMPUTERS / Artificial Intelligence / General
655		4	_aelectronic book.
700	1		_aDabney, Will, _eauthor. _0http://id.loc.gov/authorities/names/n2022049689
700	1		_aRowland, Mark _c(Research scientist), _eauthor. _0http://id.loc.gov/authorities/names/n2022049691
830		0	_aAdaptive computation and machine learning. _0http://id.loc.gov/authorities/names/n97066095
856	4	0	_uhttps://directory.doabooks.org/handle/20.500.12854/111581 _yFull text is available at the Directory of Open Access Books. Click here to view.
942			_2ddc _cOA