000 | 01434cam a2200325 a 4500 | ||
---|---|---|---|
001 | 3543602 | ||
005 | 20230823135709.0 | ||
007 | ta | ||
008 | 970626s1998 maua grb 001 0 eng | ||
020 | _a0262193981 | ||
040 |
_aDLC _cEC-QuPUC _erda _bspa _fCarmen Guachamín |
||
041 | _aenm | ||
082 | 0 | 0 |
_a006.31 _bSu87r |
100 |
_aSutton, Richard S. _981862 _eorg |
||
245 | 1 | 0 |
_aReinforcement learning : _ban introduction / _cRichard S. Sutton and Andrew G. Barto |
264 | 1 |
_aCambridge, Mass. : _bMIT Press, _c1998 |
|
300 |
_axviii, 322 pages : _billustrations ; _c24 cm. |
||
336 | _atxt | ||
337 | _an | ||
338 | _anc | ||
490 |
_977255 _aAdaptive computation and machine learning series |
||
504 | _aIncludes bibliographical references (p. [291]-312) and index. | ||
505 | _aEvaluative Feedback -- The reinforcement learning problem -- Elementary solution methods -- Monte Carlo methods -- Temporal-Difference learning -- A unified view -- Generalization and function approximation -- Planning and learning | ||
650 | 7 |
_aAprendizaje automático (Inteligencia artificial) _945327 |
|
650 | 7 |
_aAprendizaje por refuerzo _2ARMARC 2.0 en línea _944581 |
|
650 | 7 |
_aInteligencia artificial _2ARMARC 2.0 en línea _957163 |
|
700 |
_aBarto, Andrew G., _981863 _d1948- _eorg |
||
856 | _uhttps://puce.odilo.us/info/reinforcement-learning-an-introduction-03335080 | ||
942 | _cBK | ||
999 |
_c285561 _d285559 |