000			02365nam a22003975i 4500
999			_c103917 _d103917 _x1
001			103917
003			DE-He213
005			20240111050148.0
006			a||||fo|||| 00| 0
007			cr nn 008mamaa
008			141122s2015 gw | s |||| 0|eng d
020			_a9783319121970
024	7		_a10.1007/978-3-319-12197-0 _2doi
040			_bspa _dES-MaUEC
050		4	_aQ325.5 _b2015 EB
100	1		_aGatti, Christopher. _eautor _4aut _4http://id.loc.gov/vocabulary/relators/aut _1http://viaf.org/viaf/314866374/
245	1	0	_aDesign of Experiments for Reinforcement Learning _cby Christopher Gatti.
264		1	_aCham _bSpringer International Publishing _c2015
300			_a1 recurso en línea (XIII, 191 páginas 46 ilustraciones, 25 ilustraciones a color.)
336			_2rdacontent _aTexto (visual) _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
490	0		_aSpringer Theses, Recognizing Outstanding Ph.D. Research, _x2190-5053
490	0		_aEngineering (Springer-11647)
505	0		_aIntroduction -- Reinforcement Learning. Design of Experiments -- Methodology -- The Mountain Car Problem -- The Truck Backer-Upper Problem -- The Tandem Truck Backer-Upper Problem -- Appendices.
520	3		_aThis thesis takes an empirical approach to understanding of the behavior and interactions between the two main components of reinforcement learning: the learning algorithm and the functional representation of learned knowledge. The author approaches these entities using design of experiments not commonly employed to study machine learning methods. The results outlined in this work provide insight as to what enables and what has an effect on successful reinforcement learning implementations so that this learning method can be applied to more challenging problems.
988			_aEBSPRINGER_2018
650		7	_aAprendizaje automático _2embne _9166090
650		7	_aInteligencia artificial _2embne _9413115
776	0	8	_iEdición impresa: _z9783319121987
776	0	8	_iEdición impresa: _z9783319121963
776	0	8	_iEdición impresa: _z9783319385518
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-319-12197-0 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b05/2019 _dz _ejf _zSI