Reinforcement Learning

Name: Reinforcement Learning
Brand: Springer, Berlin
SKU: 9789811949357
Price: 325.05 RON
Availability: InStock

Theory and Python Implementation. DE

Autor: Zhiqing Xiao

Limbă:

Legare: Carte broșată

Editura: Springer, Berlin

Disponibilitate: În depozitul extern

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325.05 lei

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

Informații despre carte

Autor

Zhiqing Xiao

Limbă

engleză

Legare

Carte - Carte broșată

Publicat

2025

Pagini

559

EAN

9789811949357

Enbook ID

50047935

Editura

Springer, Berlin

Greutate

873

Dimensiuni

155 x 30 x 235

Descriere completă

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.

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Reinforcement Learning

Theory and Python Implementation. DE

Informații despre carte

Descriere completă

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