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Springer Reinforcement Learning: Theory and Python Implementation

Name: Reinforcement Learning: Theory and Python Implementation
Brand: Springer
Price: 59.58 GBP
Availability: InStock

Higher Education

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Description

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 systematically and introduces all mainstream reinforcement learning algorithms such as PPO, SAC, and MuZero. It also covers key technologies of GPT training such as RLHF, IRL, and PbRL. Every chapter is accompanied by high-quality implementations, and all implementations of deep reinforcement learning algorithms are with both TensorFlow and PyTorch. 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.

Product Specifications

Brand: Springer
Format: hardcover
ASIN: 9811949328
Category: Books > Subjects > Science, Nature & Maths > Engineering & Technology > Education > Higher Education
Domain: Amazon UK
Release Date: 29 September 2024
Listed Since: 15 June 2022

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Springer Reinforcement Learning: Theory and Python Implementation

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It has never been this cheap. We have no record of a lower price.

Springer Reinforcement Learning: Theory and Python Implementation

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Price Analysis

Description

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Similar Products You Might Like

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