JavaShuo
欄目
標籤
Reinforcement Learning - Charles Isbell from Georgia Tech
時間 2020-12-27
標籤
強化學習
简体版
原文
原文鏈接
你可以從這裏 Udacity上的課程 聽課,是比較簡單易懂的教程,比起單純看Sutton的書還更有意思更加無痛入門一點 (Sutton的書寫的是很詳細不過真的看的很累,可以結合着看吧) Markov Decision Processes Markov property means only the present matters. The rules are stationary. Feature
>>阅读原文<<
相關文章
1.
Deep Reinforcement Learning: Pong from Pixels
2.
(轉) Deep Reinforcement Learning: Pong from Pixels
3.
Reinforcement Learning for Relation Classification from Noisy Data
4.
Fast deep reinforcement learning using online adjustments from the past
5.
Don't Dismiss Georgia Tech's $6,600 Online Master's Degree
6.
Policy in Reinforcement Learning
7.
Reinforcement Learning Exercise 3.24
8.
Introduction to Reinforcement Learning
9.
Machine Learning(8): Reinforcement learning
10.
Reinforcement learning and Deep learning
更多相關文章...
•
PHP chown() 函數
-
PHP參考手冊
•
XML 樹結構
-
XML 教程
•
Java Agent入門實戰(三)-JVM Attach原理與使用
•
Java Agent入門實戰(一)-Instrumentation介紹與使用
相關標籤/搜索
tech
reinforcement
learning
charles
Deep Learning
Meta-learning
Learning Perl
charles+iphone
charles+python
charles+ios
0
分享到微博
分享到微信
分享到QQ
每日一句
每一个你不满意的现在,都有一个你没有努力的曾经。
最新文章
1.
升級Gradle後報錯Gradle‘s dependency cache may be corrupt (this sometimes occurs
2.
Smarter, Not Harder
3.
mac-2019-react-native 本地環境搭建(xcode-11.1和android studio3.5.2中Genymotion2.12.1 和VirtualBox-5.2.34 )
4.
查看文件中關鍵字前後幾行的內容
5.
XXE萌新進階全攻略
6.
Installation failed due to: ‘Connection refused: connect‘安卓studio端口占用
7.
zabbix5.0通過agent監控winserve12
8.
IT行業UI前景、潛力如何?
9.
Mac Swig 3.0.12 安裝
10.
Windows上FreeRDP-WebConnect是一個開源HTML5代理,它提供對使用RDP的任何Windows服務器和工作站的Web訪問
本站公眾號
歡迎關注本站公眾號,獲取更多信息
相關文章
1.
Deep Reinforcement Learning: Pong from Pixels
2.
(轉) Deep Reinforcement Learning: Pong from Pixels
3.
Reinforcement Learning for Relation Classification from Noisy Data
4.
Fast deep reinforcement learning using online adjustments from the past
5.
Don't Dismiss Georgia Tech's $6,600 Online Master's Degree
6.
Policy in Reinforcement Learning
7.
Reinforcement Learning Exercise 3.24
8.
Introduction to Reinforcement Learning
9.
Machine Learning(8): Reinforcement learning
10.
Reinforcement learning and Deep learning
>>更多相關文章<<