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If you're looking for a great lecture course, I highly recommend CS 294. It's taught by Sergey Levine, who is in my opinion one of the foundational researchers at the frontier of deep reinforcement learning, and provides a comprehensive overview on the current state of the art: http://rail.eecs.berkeley.edu/deeprlcourse/



I took the time to look through two of the lectures from the slides available. This is so inspirational. Thanks a lot!


A link to all the lecture videos for Fall 2018 is available here if you'd like to listen to the actual recordings:

https://www.youtube.com/watch?v=opaBjK4TfLc&list=PLkFD6_40KJ...


Any idea how it compares to the UCL course taught by researchers from DeepMind?

http://www.cs.ucl.ac.uk/syllabus/compgi/compgi22_advanced_de...


The Berkeley course is completely open source with all the lectures, homework problem sets, and exams publicly available on the site. Besides getting a grade, everything is available to you.

Unfortunately I'm not sure about how the UCL course compares as it seems like the materials are closed to non-UCL students. If you have access though, I'm sure there's lots to learn by taking the course!




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