Combinatorial prediction games
author: Nicolò Cesa-Bianchi,
University of Milan
published: Jan. 25, 2012, recorded: December 2011, views: 4305
published: Jan. 25, 2012, recorded: December 2011, views: 4305
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Description
Combinatorial prediction games are problems of online linear optimization in which the action space is a combinatorial space. These games can be studied under different feedback models: full, semi-bandit, and bandit. In first part of the talk we will describe the main known facts about these models and mention some of the open problems. In the second part we will focus on the bandit feedback and describe some recent results which strengthen the link between bandit optimization and convex geometry.
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Reviews and comments:
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Thank you for the great presentation, that sounded great.
You can try Among Us, an entertaining, fun and simple action game, easy to play here:
Thank you for the great presentation, that sounded great.
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