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Description
Reinforcement LearningAn Introduction EAN: 9780262039246 Farbverschnitt: Generell werden die Bcher ohne Farbverschnitt geliefert, auch wenn die Abbildungen einen Farbverschnitt zeigen. Auflage: 2. Auflage, 18002 Erscheinungsjahr: 13. 11. 2018 Titel der Reihe: Adaptive Computation and Machine Learning series## Autoren: Sutton, Richard S. & Barto, Andrew G. Redaktion: Bach, Francis Auflage Ausgabe: 2. Auflage Abbildungen: 64 color illus., 51 b 115 Illustrations, unspecified
An Introduction
| EAN: | 9780262039246 |
| Farbverschnitt: | Generell werden die Bücher ohne Farbverschnitt geliefert, auch wenn die Abbildungen einen Farbverschnitt zeigen. |
| Auflage: | 2. Auflage, 18002 |
| Erscheinungsjahr: | 13.11.2018 |
| Titel der Reihe: | Adaptive Computation and Machine Learning series## |
| Autoren: | Sutton, Richard S. & Barto, Andrew G. |
| Redaktion: | Bach, Francis |
| Auflage/Ausgabe: | 2. Auflage |
| Abbildungen: | 64 color illus., 51 b 115 Illustrations, unspecified |
| Themenüberschrift: | COMPUTERS / Intelligence (AI) & Semantics |
| Keyword: | technology;computer science;ai;computers;artificial intelligence;computer;algorithm;machine learning;algorithms;tech;superintelligence;intelligence;computer books;ai books;sci-fi;philosophy;mystery;psychology;business;thriller;meditation;sports;crime;cyberpunk;mindfulness;art;dystopia;suspense;health;anxiety;brain;sociology;internet;biography;self improvement;future;self help;neuroscience;classic;writing;cookbooks;career;essays;consciousness;gaming;communication;language;spirituality;cooking |
| Fachschema: | Englische Bücher / Naturwissenschaften~Intelligenz / Künstliche Intelligenz~KI~Künstliche Intelligenz - AI~Algorithmus~Fuzzy Logik - Fuzzy Set~Neuronales Netz - Neuronaler Computer - Neurocomputer |
| Fachkategorie: | Algorithmen und Datenstrukturen |
| Länge: | 236 mm |
| Breite: | 184 mm |
| Höhe: | 40 mm |
| Gewicht: | 1192 gr |
| Produktform: | Gebunden |
| Genre: | Importe |
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Great price, easy install
OEM fit and very easy to install. No issues at all — everything worked exactly as expected.
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Reviewed in the United States on November 19, 2025