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Multi-Agent Learning in Network Zero-Sum Games is a Hamiltonian System
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Multi-Agent Learning in Network Zero-Sum Games is a Hamiltonian System (2019)Multi-Agent Learning in Network Zero-Sum …Multiplicative Weights Update in Zero-Sum Games (2018)Multiplicative Weights Update…Cycles in Adversarial Regularized Learning (2018)Cycles in Adversarial Regular…Communication complexity of approximate Nash equilibria (2017)Communication complexity of a…Learning in Games via Reinforcement and Regularization (2016)Learning in Games via Reinfor…Introduction to Online Convex Optimization (2016)Introduction to Online Convex…Inapproximability of Nash Equilibrium (2015)Inapproximability of Nash Equ…Online Learning and Online Convex Optimization (2011)Online Learning and Online Co…Inapproximability of pure nash equilibria (2008)Inapproximability of pure nas…How long to equilibrium? The communication complexity of uncoupled equilibrium procedures (2008)How long to equilibrium? The …The complexity of computing a Nash equilibrium (2006)The complexity of computing a…Prediction, Learning, and Games (2006)Prediction, Learning, and Gam…Strategic Learning and its Limits (2004)Strategic Learning and its Li…Uncoupled Dynamics Do Not Lead to Nash Equilibrium (2003)Uncoupled Dynamics Do Not Lea…Chaos in learning a simple two-person game (2002)Chaos in learning a simple tw…Evolutionary dynamics for bimatrix games: A Hamiltonian system? (1996)Evolutionary dynamics for bim…Evolution and the Theory of Games (1988)Evolution and the Theory of G…A Decision-Theoretic Generalization of On-Line Learning and an Application to Boosting (1997)Finite-time Analysis of the Multiarmed Bandit Problem (2002)Online Learning and Online Convex Optimization (2012)Regret Analysis of Stochastic and Nonstochastic Multi-armed Bandit Problems (2012)Taking the Human Out of the Loop: A Review of Bayesian Optimization (2015)Theory of games and economic behavior (2019)The function of aggression in primate societies. (1974)The Selfish Gene (1976)Five Rules for the Evolution of Cooperation (2006)Some aspects of the sequential design of experiments (1952)The Nonstochastic Multiarmed Bandit Problem (2002)Big Data Deep Learning: Challenges and Perspectives (2014)A survey of machine learning for big data processing (2016)A survey on deep learning for big data (2017)Evolutionary Games and Population Dynamics (1998)A Simple Adaptive Procedure Leading to Correlated Equilibrium (2000)Dynamic fictitious play, dynamic gradient play, and distributed convergence to Nash equilibria (2005)Joint Strategy Fictitious Play With Inertia for Potential Games (2009)Evolutionary Game Theory (2011)Non-Cooperative Games (1951)Non-cooperative games (1989)Computing correlated equilibria in multi-player games (2008)Multiagent systems: algorithmic, game-theoretic, and logical foundations (2009)Agent-Based Modeling in Economics and Finance: Past, Present, and Future (2025)Evolutionary stable strategies and game dynamics (1978)Game Theory and Economic Modelling (1990)Evolutionary games and spatial chaos (1992)Evolutionary game dynamics (2003)Stochastic Evolutionary Game Dynamics (2009)The Pricing of Options and Corporate Liabilities (1973)An Online Convex Optimization Approach to Proactive Network Resource Allocation (2017)A Marketplace for Data (2019)Introduction to Multi-Armed Bandits (2019)Conditional logit analysis of qualitative choice behavior (1972)Intrinsic robustness of the price of anarchy (2009)On Finding Local Nash Equilibria (and only Local Nash Equilibria) in Zero-Sum Games (2025)Cooperative Control and Potential Games (2009)Evolutionary Game Theory: A Renaissance (2018)From Population Games to Payoff Dynamics Models: A Passivity-Based Approac (2019)The Confluence of Networks, Games, and Learning a Game-Theoretic Framework for Multiagent Decision Making Over Networks (2022)
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References

  • 1988Evolution and the Theory of Games7,975 cited
  • 2006Prediction, Learning, and Games3,223 cited
  • 2011Online Learning and Online Convex Optimization1,170 cited
  • 2016Introduction to Online Convex Optimization893 cited
  • 2004Strategic Learning and its Limits606 cited
  • 2006The complexity of computing a Nash equilibrium494 cited
  • 2003Uncoupled Dynamics Do Not Lead to Nash Equilibrium363 cited
  • 2002Chaos in learning a simple two-person game200 cited
  • 2016Learning in Games via Reinforcement and Regularization132 cited
  • 2018Cycles in Adversarial Regularized Learning122 cited
  • 2008How long to equilibrium? The communication complexity of uncoupled equilibrium procedures113 cited
  • 2008Inapproximability of pure nash equilibria106 cited
  • 1996Evolutionary dynamics for bimatrix games: A Hamiltonian system?101 cited
  • 2018Multiplicative Weights Update in Zero-Sum Games80 cited
  • 2015Inapproximability of Nash Equilibrium73 cited
  • 2017Communication complexity of approximate Nash equilibria61 cited

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