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| Name | Reinforcement Learning Series: Overview of Methods |
| Video Uploader | Video From Steve Brunton |
| Upload Date | This Video Uploaded At 03-01-2022 11:00:20 |
| Video Discription | This video introduces the variety of methods for model-based and model-free reinforcement learning, including: dynamic programming, value and policy iteration, Q-learning, deep RL, TD-learning, SARSA, policy gradient optimization, among others. Citable link for this video: https://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: http://databookuw.com Book PDF: http://databookuw.com/databook.pdf RL Chapter: https://faculty.washington.edu/sbrunton/databookRL.pdf Amazon: https://www.amazon.com/Data-Driven-Science-Engineering-Learning-Dynamical/dp/1108422098/ Brunton Website: eigensteve.com This video was produced at the University of Washington |
| Category | Science & Technology |
| Tags | Science & Technology Download MP4 | Science & Technology Download MP3 | Science & Technology Download MP4 360p | Science & Technology Download MP4 480p | Science & Technology Download MP4 720p | Science & Technology Download MP4 1080p |
