Reinforcement Learning
post by ISH GIRWAN
Courses/Tutorials
- Deep Reinforcement Learning, Spring 2017, by UC Berkeley: http://rll.berkeley.edu/deeprlcours...
- Reinforcement Learning, 2015, by UCL (David Siver): http://www0.cs.ucl.ac.uk/staff/d.si...
- https://github.com/yandexdataschool...
- Lecture notes by Andrew Ng: http://cs229.stanford.edu/notes/cs2...
- https://medium.com/emergent-future/...
Books
- Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto: http://webdocs.cs.ualberta.ca/~sutt...
Blogs
I think you can take the UC Berkeley course instead of David Silver's course as it's more up to date. Additionally you can check Arthur Juliani's blog series, it's really good.
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以下是比较旧的RL Course by David Silver
UCL Course on RL
http://www0.cs.ucl.ac.uk/staff/d.silver/web/Teaching.html
Advanced Topics 2015 (COMPM050/COMPGI13)
Reinforcement Learning
Contact: d.silver@cs.ucl.ac.uk
Video-lectures available here
Lecture 1: Introduction to Reinforcement Learning
Lecture 2: Markov Decision Processes
Lecture 3: Planning by Dynamic Programming
Lecture 4: Model-Free Prediction
Lecture 5: Model-Free Control
Lecture 6: Value Function Approximation
Lecture 7: Policy Gradient Methods
Lecture 8: Integrating Learning and Planning
Lecture 9: Exploration and Exploitation
Lecture 10: Case Study: RL in Classic Games
Easy21 assignment
Discussion and announcements: http://groups.google.com/group/csml-advanced-topics
