Reinforcement Learning

Name: Reinforcement Learning
Brand: Springer, Berlin
SKU: 9789811949326
Price: 1788 CZK
Availability: InStock

Theory and Python Implementation

Autor: Zhiqing Xiao

Jazyk:

Vazba: Pevná

Vydavatel: Springer, Berlin

Dostupnost: Skladem u dodavatele

Odesíláme za 10-13 dnů

1 788 Kč

Reinforcement Learning: Theory and Python Implementation is a tutorial book on reinforcement learnin...

Informace o knize

Autor

Zhiqing Xiao

Jazyk

Angličtina

Vazba

Kniha - Pevná

Vydáno

2023

Stránek

593

EAN

9789811949326

Enbook ID

39341654

Vydavatel

Springer, Berlin

Hmotnost

977

Rozměry

155 x 235

Kompletní popis

Reinforcement Learning: Theory and Python Implementation is a tutorial book on reinforcement learning, with explanations of both theory and applications. Starting from a uniform mathematical framework, this book derives the theory of modern reinforcement learning in a systematic way and introduces all mainstream reinforcement learning algorithms including both classical reinforcement learning algorithms such as eligibility trace and deep reinforcement learning algorithms such as PPO, SAC, and MuZero. Every chapter is accompanied by high-quality implementations based on the latest version of Python packages such as Gym, and the implementations of deep reinforcement learning algorithms are all with both TensorFlow 2 and PyTorch 1. All codes can be found on GitHub along with their results and are runnable on a conventional laptop with either Windows, macOS, or Linux. This book is intended for readers who want to learn reinforcement learning systematically and apply reinforcement learning to practical applications. It is also ideal to academical researchers who seek theoretical foundation or algorithm enhancement in their cutting-edge AI research.

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Reinforcement Learning

Theory and Python Implementation

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