Enes Bilgin
Mastering Reinforcement Learning with Python: Build next-generation, self-learning models using reinforcement learning techniques and best practices Enes Bilgin

Name: Mastering Reinforcement Learning with Python: Build next-generation, self-learning models using reinforcement learning techniques and best practices
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Author: Enes Bilgin

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Mastering Reinforcement Learning with Python: Build next-generation, self-learning models using reinforcement learning techniques and best practices

Enes Bilgin

This book focuses on expert-level explanations and implementations of scalable reinforcement learning algorithms and approaches. Starting with the fundamentals, the book covers state-of-the-art methods from bandit problems to meta-reinforcement learning. YouÃ¢â‚¬â„¢ll also explore practical examples inspired by real-life problems from the industry.

544 pages

Media	Bøker Pocketbok (Bok med mykt omslag og limt rygg)
Utgitt	18. desember 2020
ISBN13	9781838644147
Utgivere	Packt Publishing Limited
Antall sider	544
Mål	191 × 237 × 32 mm · 925 g
Språk	Engelsk

Se alt med Enes Bilgin ( f.eks. Pocketbok )

Enes Bilgin Mastering Reinforcement Learning with Python: Build next-generation, self-learning models using reinforcement learning techniques and best practices Enes Bilgin

Mastering Reinforcement Learning with Python: Build next-generation, self-learning models using reinforcement learning techniques and best practices

Enes Bilgin

Enes Bilgin
Mastering Reinforcement Learning with Python: Build next-generation, self-learning models using reinforcement learning techniques and best practices Enes Bilgin