Reinforcement Learning
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Reinforcement Learning Explained: An Introduction to Principles
Publishing House of Electronics Industry · 2018
A common complaint about reinforcement learning textbooks is that one kind drowns you in derivations and formulas, while another has you copy code tha…
TensorFlow Deep Learning in Practice (Video Course Edition)
Tsinghua University Press · 2022
This book is part of Tsinghua University Press's "Big Data and Artificial Intelligence Technology Series." Edited by Lyu Yunxiang and others at Beihan…
TensorFlow in Action
Publishing House of Electronics Industry · 2017
This book is written based on the TensorFlow 1.0 API, aimed at developers and researchers who want to quickly turn deep learning ideas into runnable m…
Reinforcement Learning: Principles and Python Implementation
China Machine Press · 2019
This book is an introductory and practical tutorial on reinforcement learning by Xiao Zhiqing, a Doctor of Engineering from Tsinghua University, publi…
Reinforcement Learning and PyTorch in Plain Language
Publishing House of Electronics Industry · 2019
Reinforcement Learning and PyTorch in Plain Language, written by Gao Yang and Ye Zhenbin with illustrations by Wan Juan, was published by Publishing H…
TensorFlow from Scratch
Publishing House of Electronics Industry · 2020
This book is an introductory guide to deep learning built on TensorFlow 2.0, written for beginners with a thin theoretical grounding in machine learni…
Embodied Intelligence
CITIC Press · 2025
This book is an introduction to artificial intelligence for general readers by Liu Yunhao, a professor at Tsinghua University. Taking the currently po…
Distributed Artificial Intelligence
Publishing House of Electronics Industry · 2022
This book is a Chinese academic work on the interdisciplinary direction of distributed artificial intelligence, organized roughly into five parts that…
Decision Algorithms
China Machine Press · 2025
This book grew out of a Stanford University course and mainly introduces decision algorithms under uncertainty, covering basic mathematical problems a…
Easy RL: A Reinforcement Learning Tutorial
Posts & Telecom Press · 2022
Reinforcement learning, as a key method in machine learning and artificial intelligence, has been widely applied in fields such as games, autonomous d…
Meta-Learning: Foundations and Applications
Publishing House of Electronics Industry · 2021
This book introduces the history, origins, and ideas of meta-learning methods, the meta-learning methods that have become popular recently, and how th…
Reinforcement Learning Explained in Simple Terms: Programming Practice
Publishing House of Electronics Industry · 2020
This book is a companion volume to Introduction to Reinforcement Learning: Principles, and was written to help readers who want to learn reinforcement…
Machine Learning
Posts & Telecom Press · 2019
Machine learning is an important technical foundation of artificial intelligence and covers a very broad range of topics. This book covers the fundame…
Essentials of Reinforcement Learning: Core Algorithms and TensorFlow Implementation
Publishing House of Electronics Industry · 2018
Essentials of Reinforcement Learning: Core Algorithms and TensorFlow Implementation offers an accessible, witty, and thoroughly engaging introduction …
Deep Learning Algorithm Practice
Publishing House of Electronics Industry · 2025
Told through a software engineer's career-change story, this book describes how to develop and apply algorithmic thinking. Chapter 1 explains how to s…