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
發表於2025-03-31
Reinforcement Learning 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2025
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
評分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。
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.
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.
[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
Reinforcement Learning 在線電子書 pdf 下載 txt下載 epub 下載 mobi 下載 2025