Reinforcement Learning Series: Overview of Methods
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2022-01-03に共有
Citable link for this video: doi.org/10.52843/cassyni.jcgdvc
This is the overview in a series on reinforcement learning, following the new Chapter 11 from the 2nd edition of our book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Brunton and Kutz
Book Website: databookuw.com/
Book PDF: databookuw.com/databook.pdf
RL Chapter: faculty.washington.edu/sbrunton/databookRL.pdf
Amazon: www.amazon.com/Data-Driven-Science-Engineering-Lea…
Brunton Website: eigensteve.com
This video was produced at the University of Washington
コメント (21)
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I deeply appreciate the quality of knowledge you are providing to the community. please continue to democratise knowledge.
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OK, this year is gonna be better than I thought. Thanks, professor!
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Superb. One of the things I always I struggle with when learning something is having a well structured map in my head of the topic and subtopics and this does an extremely good job of doing that. Many thanks.
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This russian doll of dichotomies has always been a mind bender, often it seems the literature has nebulous definitions and the boundaries aren't so clear. Thank you for the great insights in this lecture, the graphic is superb.
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Wow! Steve, you've managed to break this all down into bite-sized chunks. Thank you 🙏
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Fantastic opening video. You're a talented teacher and I appreciate this content. Looking forward to watching the entire series.
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I just started getting back into RL so this comes at a perfect time! Looking forward 👌
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It's been a great series of videos on RL! I'm updating my research interests and now I want to combine MPC with RL in such a way that the resulting control structure can be safely implemented and has some stability guarantees. Thank you very much!
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Finally! Thank you for you posting. Can't wait to see the whole playlist.
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You helped me during my undergrad, now you're an inspiration to me during my masters.
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Such a high quality course and a free book in description? You're awesome!!
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Thank you prof for providing your book in PDF format:eyes-pink-heart-shape:
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An excellent arrangement of a very tough topic, logical and in the proper flow, keep up the very good job Thank you.
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Really really great overview for those new to learning about reinforcement learning! Thanks so much!
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Coming to this video after a while. Really great video, thank you!!
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Great synthetic and dense video ! Thank you very much for sharing !
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What an amazing start to the new year! 😍
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I am really grateful for your eye-opening videos, especially this one
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This is series is life saver ! Thanks Steve !
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Great didactic, congratulations! I used to confuse myself frequently when dealing with these concepts.
