On gradient-based methods for finding game-theoretic equilibria

Michael Jordan details several recent results that blend gradient-based methodology with game-theoretic goals.

By Michael Jordan
September 12, 2019

This is a keynote highlight from the O’Reilly Artificial Intelligence Conference in San Jose 2019. Watch the full version of this keynote on the O’Reilly online learning platform.

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Post topics: AI & ML

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