Reinforcement Learning pdf epub mobi txt 電子書 下載2025
- 機器學習
- 強化學習
- 人工智能
- AI
- Reinforcement
- 計算機科學
- 增強學習
- 計算機
- Reinforcement Learning
- Machine Learning
- Deep Learning
- Agreement Policy
- State Action Pair
- Reward Function
- Value Iteration
- QLearning
- Offline Learning
具體描述
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 when interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the key ideas and algorithms of reinforcement learning. Their discussion ranges from the history of the field's intellectual foundations to the most recent developments and applications. The only necessary mathematical background is familiarity with elementary concepts of probability.The book is divided into three parts. Part I defines the reinforcement learning problem in terms of Markov decision processes. Part II provides basic solution methods: dynamic programming, Monte Carlo methods, and temporal-difference learning. Part III presents a unified view of the solution methods and incorporates artificial neural networks, eligibility traces, and planning; the two final chapters present case studies and consider the future of reinforcement learning.
著者簡介
圖書目錄
讀後感
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
用戶評價
作為一個學渣 看一會就打瞌睡???? 硬著頭皮看瞭一半，終於還是放棄瞭T-T
评分easy reading, basic intuitions of reinforcement learning .
评分讀的是second edition draft
评分一年看一遍……rich是多麼可愛啊~
评分第一章寫曆史的部分很有趣。後麵的框架可以結閤最新的進展看。
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