| 000 | 02581nam a2200373 i 4500 | ||
|---|---|---|---|
| 999 |
_c398282 _d398282 _x1 |
||
| 001 | 398282 | ||
| 003 | ES-MaUEC | ||
| 005 | 20240429180411.0 | ||
| 006 | a|||||o|||| 00| 0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 230814s2023 sz | o |||| 0|eng d | ||
| 020 | _a9783031373459 | ||
| 024 | 7 |
_a10.1007/978-3-031-37345-9 _2doi |
|
| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
||
| 050 | 4 |
_aQ325.5 _b2023 EB |
|
| 100 | 1 |
_aRis-Ala, Rafael _eautor _9689592 |
|
| 245 | 1 | 0 |
_aFundamentals of Reinforcement Learning _cby Rafael Ris-Ala |
| 250 | _a1st ed 2023 | ||
| 264 | 1 |
_aCham _bSpringer Nature Switzerland _c2023 |
|
| 300 | _a1 recurso en línea | ||
| 336 |
_atexto _btxt _2rdacontent |
||
| 337 |
_aelectrónico _bc _2rdamedia |
||
| 338 |
_arecurso electrónico _bcr _2rdacarrier |
||
| 347 |
_aarchivo de texto _bPDF _2rda |
||
| 505 | 0 | _aChapter. 1. Introduction -- Chapter. 2. Concepts -- Chapter. 3. Q-Learning algorithm -- Chapter. 4. Development tools -- Chapter. 5. Practice with code -- Chapter. 6. Recent applications and future research -- Index. | |
| 520 | _aArtificial intelligence (AI) applications bring agility and modernity to our lives, and the reinforcement learning technique is at the forefront of this technology. It can outperform human competitors in strategy games, creative compositing, and autonomous movement. Moreover, it is just starting to transform our civilization. This book provides an introduction to AI, specifies machine learning techniques, and explores various aspects of reinforcement learning, approaching the latest concepts in a didactic and illustrated manner. It is aimed at students who want to be part of technological advances and professors engaged in the development of innovative applications, helping with academic and industrial challenges. Understanding the Fundamentals of Reinforcement Learning will allow you to: Understand essential AI concepts Gain professional experience Interpret sequential decision problems and solve them with reinforcement learning Learn how the Q-Learning algorithm works Practice with commented Python code Find advantageous directions. | ||
| 988 | _aSpringer_Computer_2023 | ||
| 650 | 7 |
_2embne _9166090 _aAprendizaje automático |
|
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-031-37345-9 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
||
| 998 |
_b02/2024 _dz _eb _zSI |
||