On Learning Algorithms for Nash Equilibria
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Publication:3162512
DOI10.1007/978-3-642-16170-4_11zbMath1310.91033OpenAlexW3135939364MaRDI QIDQ3162512
Rafael Frongillo, Gregory Valiant, George Pierrakos, Constantinos Daskalakis, Christos H. Papadimitriou
Publication date: 19 October 2010
Published in: Algorithmic Game Theory (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1007/978-3-642-16170-4_11
Noncooperative games (91A10) Rationality and learning in game theory (91A26) Evolutionary games (91A22)
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Cites Work
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- Mixed equilibria and dynamical systems arising from fictitious play in perturbed games
- Adaptive game playing using multiplicative weights
- An iterative method of solving a game
- A Simple Adaptive Procedure Leading to Correlated Equilibrium
- The Nonstochastic Multiarmed Bandit Problem
- Intrinsic robustness of the price of anarchy
- Multiplicative updates outperform generic no-regret learning in congestion games