Prediction, Learning, and Games
by Nicolo Cesa-Bianchi, Gabor Lugosi
Explores algorithms and theory for online prediction, learning, and games, focusing on regret minimization and decision-making under uncertainty.
About This Book
Prediction, Learning, and Games presents core concepts in online prediction and learning theory.
The authors examine algorithms and strategies for sequential decision-making under uncertainty.
Topics include regret minimization, game theory, and statistical learning.
The text is intended for researchers and advanced students in mathematics and computer science.
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