Reinforcement Learning

Name: Reinforcement Learning
Brand: Springer, Berlin
SKU: 9789811949326
Price: 82.63 EUR
Availability: InStock

Theory and Python Implementation

Автор: Zhiqing Xiao

Език:

Корици: С твърди корици

Издател: Springer, Berlin

Наличност: Външен склад

Изпращаме след 10-13 дни

82.63 € 161.60 лв

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

Информация за книгата

Автор

Zhiqing Xiao

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2023

страници

593

EAN

9789811949326

Enbook ID

39341654

Издател

Springer, Berlin

Теглоt

977

Размери

155 x 235

Пълно описание

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

Информация за книгата

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