Reinforcement Learning pdf epub mobi txt 电子书 下载 2025
- 机器学习
- 强化学习
- 人工智能
- AI
- Reinforcement
- 计算机科学
- 增强学习
- 计算机
- Reinforcement Learning
- Machine Learning
- Deep Learning
- Agreement Policy
- State Action Pair
- Reward Function
- Value Iteration
- QLearning
- Offline Learning
具体描述
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.
作者简介
目录信息
读后感
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)。
评分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)。
评分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)。
评分可以在线阅读，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
评分可以在线阅读，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
用户评价
经过一个多月的奋战终于看完了，感觉讲得太天马行空了。就算已经有了点基础知识了，看起来还是很难 follow。
评分结合了很多方面的研究进展，最新版值得一看
评分当做资料翻了一下章节，很全面，可以当工具书查查。
评分一年看一遍……rich是多么可爱啊~
评分一年看一遍……rich是多么可爱啊~
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