DEEP LEARNING 大满贯课程表

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

• http://bair.berkeley.edu/blog

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

Previous RL exam questions and answers