Difference between r1.27 and the current
@@ -7,13 +7,12 @@
* [Artificial Neural Network]
== 강화학습(Reinforce Learning) ==
* Book
* [https://dnddnjs.gitbooks.io/rl/content Fundamental of Reinforcement Learning]
* 강의
* [http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html UCL Course on RL]
* [https://www.youtube.com/watch?v=2pWv7GOvuf0 Youtube]
* 책
* [http://incompleteideas.net/sutton/book/bookdraft2017june19.pdf Reinforcement Learning: An Introduction]
* [http://icml.cc/2016/tutorials/deep_rl_tutorial.pdf Deep RL Tutorial - David Silver]
* [https://www.slideshare.net/carpedm20/ss-63116251 텐서플로우 설치도 했고 튜토리얼도 봤고 기초 예제도 짜봤다면 TensorFlow KR Meetup 2016]
== 강화학습(Reinforce Learning) ==
* [http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html UCL Course on RL]
* [https://www.youtube.com/watch?v=2pWv7GOvuf0 Youtube]
* 책
* [http://incompleteideas.net/sutton/book/bookdraft2017june19.pdf Reinforcement Learning: An Introduction]
* [https://dnddnjs.gitbooks.io/rl/content Fundamental of Reinforcement Learning]
* Slide* [http://icml.cc/2016/tutorials/deep_rl_tutorial.pdf Deep RL Tutorial - David Silver]
* [https://www.slideshare.net/carpedm20/ss-63116251 텐서플로우 설치도 했고 튜토리얼도 봤고 기초 예제도 짜봤다면 TensorFlow KR Meetup 2016]
예비 지식 ¶
- 확률과 통계
- 선형대수학
분류(Classification) ¶
- Naive Bayesian Classifier
- Artificial Neural Network
강화학습(Reinforce Learning) ¶
- 강의
- 책
- Slide
- Articles
- Resource
- OpenAI Gym : 실습 가능한 환경을 제공
- OpenAI Gym : 실습 가능한 환경을 제공
- Code
