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The book delves into the fascinating world of reinforcement learning algorithms, exploring how they enable machines to learn and improve their strategies in games like chess and go. It highlights the capability of robotic systems to refine their movements and showcases how agents in arcade games can achieve superhuman performance in just hours. Through these examples, the text uncovers the underlying mechanisms that drive these advanced learning processes, offering insights into the future of artificial intelligence in gaming and beyond.
Zakup książki
Reinforcement Learning From Scratch, Uwe Lorenz
- Język
- Rok wydania
- 2022
- Oprawa
- (twarda)
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- Tytuł
- Reinforcement Learning From Scratch
- Podtytuł
- Understanding Current Approaches - with Examples in Java and Greenfoot
- Język
- angielski
- Autorzy
- Uwe Lorenz
- Rok wydania
- 2022
- Oprawa
- twarda
- Liczba stron
- 200
- ISBN13
- 9783031090295
- Seria
- Tagi
- Opis
- The book delves into the fascinating world of reinforcement learning algorithms, exploring how they enable machines to learn and improve their strategies in games like chess and go. It highlights the capability of robotic systems to refine their movements and showcases how agents in arcade games can achieve superhuman performance in just hours. Through these examples, the text uncovers the underlying mechanisms that drive these advanced learning processes, offering insights into the future of artificial intelligence in gaming and beyond.