On the Global Convergence and Approximation Benefits of Policy Gradient Methods

Published on ● Video Link: https://www.youtube.com/watch?v=_HKrgoQf4Fk



Duration: 34:40
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Daniel Russo (Columbia University)
https://simons.berkeley.edu/talks/global-convergence-and-approximation-benefits-policy-gradient-methods
Mathematics of Online Decision Making







Tags:
Simons Institute
theoretical computer science
UC Berkeley
Computer Science
Theory of Computation
Theory of Computing
Daniel Russo
Mathematics of Online Decision Making