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Potential-Based Algorithms in On-Line Prediction and Game Theory · Study

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ArticlePotential-Based Algorithms in On-Line Prediction and Game Theory

Nicolò Cesa‐Bianchi2003

OA

Articlebronze2003

Potential-Based Algorithms in On-Line Prediction and Game Theory

Nicolò Cesa‐Bianchi · Gábor Lugosi

110 citations·0/0 files stored·Machine Learning

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Advanced Bandit Algorithms Research Game Theory and Applications Machine Learning and Algorithms

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References

1997A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting 2000A Simple Adaptive Procedure Leading to Correlated Equilibrium 1956An analog of the minimax theorem for vector payoffs 1997How to use expert advice 1999Adaptive Game Playing Using Multiplicative Weights 1997Calibrated Learning and Correlated Equilibrium 1990AGGREGATING STRATEGIES 1999Regret in the On-Line Decision Problem

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2006Global Nash convergence of Foster and Young's regret testing 2009A parameter-free hedging algorithm 2005Internal Regret in On-Line Portfolio Selection 2006Learning correlated equilibria in games with compact sets of strategies 2009On the convergence of regret minimization dynamics in concave games 2005From External to Internal Regret 2003

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2006Regret Minimization Under Partial Monitoringarticle · 9 shared references 2005From External to Internal Regretother · 9 shared references 2006Stochastic Approximations and Differential Inclusions, Part II: Applicationsarticle · 8 shared references 2005Internal Regret in On-Line Portfolio Selectionarticle · 8 shared references 2006Learning correlated equilibria in games with compact sets of strategiesarticle · 8 shared references 2003A General Class of No-Regret Learning Algorithms and Game-Theoretic Equilibriaother · 8 shared references

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Year2003

Typearticle

Published2003-04-07

VenueMachine Learning

ISSN-L0885-6125

Languageen

Citations110

Files0 public / 0

ShelfAdvanced Bandit Algorithms Research

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doi10.1023/a:1022901500417

openalex_workW1529039634

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A General Class of No-Regret Learning Algorithms and Game-Theoretic Equilibria

2018Arbitrage of forecasting experts