Overview of Methods - presented by Prof. Steven L. Brunton

Overview of Methods

Prof. Steven L. Brunton

Prof. Steven L. Brunton
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Overview of Methods
Prof. Steven L. Brunton
Steven L. Brunton
University of Washington

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.

References
  • 1.
    https://openlibrary.org/isbn/9781108422093
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Reinforcement learning
Brunton Lab (University of Washington)
Cite as
S. L. Brunton (2022, January 3), Overview of Methods
DOI
doi.org/10.52843/cassyni.jcgdvc
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Listed seminar This seminar is open to all
Recorded Available to all
Video length 21:36