| LEADER |
00889nam a2200301 4500 |
| 001 |
000000221002 |
| 003 |
CaOOAMICUS |
| 005 |
20201030092719.0 |
| 008 |
201007s2020 si 000 u eng |
| 020 |
|
|
|a 9789811540943
|
| 040 |
|
|
|a ULA
|b spa
|
| 080 |
|
|
|a 681.3
|
| 080 |
|
|
|a * 681.3
|
| 245 |
1 |
0 |
|a Deep reinforcement learning :
|b fundamentals, research and applications /
|c Hao Dong, Zihan Ding, Shanghang Zhang, editors
|
| 260 |
|
|
|a Barcelona
|b Springer
|c 2020
|
| 300 |
|
|
|a XXVII, 514 páginas ;
|c 25 cm
|
| 336 |
|
|
|a Texto (visual)
|
| 337 |
|
|
|a sin mediación
|
| 338 |
|
|
|a volumen
|
| 650 |
1 |
4 |
|a Aprendizaje
|
| 650 |
1 |
7 |
|a Toma de decisión
|2 ULA
|
| 650 |
1 |
4 |
|a Inteligencia artificial
|
| 700 |
1 |
|
|a Dong, Hao
|e editor
|
| 700 |
1 |
|
|a Zhang, Shanghang
|e editor
|
| 700 |
1 |
|
|a Ding, Zihan
|e editor
|
| 850 |
|
|
|a ULA
|
| 904 |
|
|
|a 2
|b 2
|c Disponibilidad
|d Fecha
|t 250989
|j 681.3 DEE
|
| 990 |
|
|
|a emil
|