Reinforcement Learning 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2025


Reinforcement Learning

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Richard S. Sutton 作者
A Bradford Book
譯者
2018-11-13 出版日期
552 頁數
USD 76.00 價格
精裝
叢書系列
9780262039246 圖書編碼

Reinforcement Learning 在線電子書 圖書標籤: 強化學習  機器學習  人工智能  RL  計算機科學  數學  MachineLearning  計算機   


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發表於2025-03-31

Reinforcement Learning 在線電子書 epub 下載 mobi 下載 pdf 下載 txt 下載 2025

Reinforcement Learning 在線電子書 epub 下載 pdf 下載 mobi 下載 txt 下載 2025

Reinforcement Learning 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2025



Reinforcement Learning 在線電子書 用戶評價

評分

不好讀。

評分

寫的很係統,把之前散落在讀論文裏的各個知識點都串起來瞭,推薦,另外有隨書的代碼在github上

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看到最後當哲學書看瞭LOL...

評分

看到最後當哲學書看瞭LOL...

評分

不好讀。

Reinforcement Learning 在線電子書 著者簡介

Richard S. Sutton is Professor of Computing Science and AITF Chair in Reinforcement Learning and Artificial Intelligence at the University of Alberta, and also Distinguished Research Scientist at DeepMind.


Reinforcement Learning 在線電子書 著者簡介


Reinforcement Learning 在線電子書 pdf 下載 txt下載 epub 下載 mobi 在線電子書下載

Reinforcement Learning 在線電子書 圖書描述

The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence.

Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics.

Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.

Reinforcement Learning 在線電子書 下載 mobi epub pdf txt 在線電子書下載


想要找書就要到 圖書目錄大全
立刻按 ctrl+D收藏本頁
你會得到大驚喜!!

Reinforcement Learning 在線電子書 讀後感

評分

[http://incompleteideas.net/book/the-book-2nd.html] 有 [第二版的 PDF(][http://incompleteideas.net/book/bookdraft2018jan1.pdf)][ ],还有 [Python 实现]([https://github.com/ShangtongZhang/reinforcement-learning-an-introduction])。  

評分

可以在线阅读,还不错的 我还没仔细读,先把网址公布出来,大家一起学习 http://webdocs.cs.ualberta.ca/~sutton/book/ebook/the-book.html  

評分

[http://incompleteideas.net/book/the-book-2nd.html] 有 [第二版的 PDF(][http://incompleteideas.net/book/bookdraft2018jan1.pdf)][ ],还有 [Python 实现]([https://github.com/ShangtongZhang/reinforcement-learning-an-introduction])。  

評分

[http://incompleteideas.net/book/the-book-2nd.html] 有 [第二版的 PDF(][http://incompleteideas.net/book/bookdraft2018jan1.pdf)][ ],还有 [Python 实现]([https://github.com/ShangtongZhang/reinforcement-learning-an-introduction])。  

評分

可以在线阅读,还不错的 我还没仔细读,先把网址公布出来,大家一起学习 http://webdocs.cs.ualberta.ca/~sutton/book/ebook/the-book.html  

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