How long to equilibrium? The communication complexity of uncoupled equilibrium procedures
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Publication:972131
DOI10.1016/j.geb.2007.12.002zbMath1229.91029OpenAlexW2122414948MaRDI QIDQ972131
Publication date: 25 May 2010
Published in: Games and Economic Behavior (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.geb.2007.12.002
Nash equilibriumcorrelated equilibriumcommunication complexityspeed of convergenceuncoupled dynamics
Analysis of algorithms and problem complexity (68Q25) Noncooperative games (91A10) Economics of information (91B44) Decision theory for games (91A35)
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Cites Work
- Unnamed Item
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- Stochastic uncoupled dynamics and Nash equilibrium
- Bayesian learning in normal form games
- Subjectivity and correlation in randomized strategies
- Three problems in learning mixed-strategy Nash equilibria
- Calibrated learning and correlated equilibrium
- Potential-based algorithms in on-line prediction and game theory
- Learning, hypothesis testing, and Nash equilibrium.
- General procedures leading to correlated equilibria
- Potential games
- Learning correlated equilibria in games with compact sets of strategies
- Global Nash convergence of Foster and Young's regret testing
- Rational Learning Leads to Nash Equilibrium
- Existence of Correlated Equilibria
- A Simple Adaptive Procedure Leading to Correlated Equilibrium
- Learning Theory
- Communication Complexity
- Probability Inequalities for Sums of Bounded Random Variables
- Adaptive Heuristics
- Prediction, Learning, and Games
- Computing correlated equilibria in multi-player games
- Internal regret in on-line portfolio selection
- A general class of adaptive strategies
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