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Best-Response Dynamics for Evolutionary Stochastic Games
International Game Theory Review, 2023We introduce a version of best-response (BR) dynamics for stochastic games using the framework of evolutionary stochastic games proposed in [Flesch, J., Parthasarathy, T., Thuijsman, F. and Uyttendaele, P. [2013] Evolutionary stochastic games, Dyn. Games Appl. 3, 207–219].
Murali, Divya, Shaiju, A. J.
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Solving Zero-Sum Games Using Best-Response Oracles with Applications to Search Games
Operational Research, 2017How to Choose Between Exponentially Many StrategiesIn “Solving Zero-Sum Games Using Best-Response Oracles with Applications to Search Games,” L. Hellerstein, T. Lidbetter, and D.
L. Hellerstein +2 more
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Differentiable best response shaping
2023Cette thèse est structurée en quatre sections. La première constitue une introduction au problème de la formation d'agents coopératifs non exploitables dans les jeux à somme non nulle. La deuxième section, soit le premier chapitre, fournit le contexte nécessaire pour discuter de l'étendue et des outils mathématiques requis pour explorer ce problème. La
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The Efficiency of Best-Response Dynamics
Algorithmic Game Theory, 2017Best response (BR) dynamics is a natural method by which players proceed toward a pure Nash equilibrium via a local search method. The quality of the equilibrium reached may depend heavily on the order by which players are chosen to perform their best ...
M. Feldman, Yuval Snappir, Tami Tamir
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Best response dynamics for role games [PDF]
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents
Adaptive Agents and Multi-Agent Systems, 2018Multiagent algorithms often aim to accurately predict the behaviors of other agents and find a best response accordingly. Previous works usually assume an opponent uses a stationary strategy or randomly switches among several stationary ones. However, an
Tianpei Yang +4 more
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SIAM Journal on Optimization, 2018
This paper considers a stochastic Nash game in which each player minimizes an expectation valued composite objective. We make the following contributions.
Jinlong Lei, U. Shanbhag
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This paper considers a stochastic Nash game in which each player minimizes an expectation valued composite objective. We make the following contributions.
Jinlong Lei, U. Shanbhag
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Journal of Applied Communication Research, 2006
Communicating successfully in a crisis is a daunting endeavor even for seasoned communication professionals.
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Communicating successfully in a crisis is a daunting endeavor even for seasoned communication professionals.
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Getting the Best Response for Your Erg
ACM Transactions on Algorithms, 2004We consider the speed scaling problem of minimizing the average response time of a collection of dynamically released jobs subject to a constraint A on energy used. We propose an algorithmic approach in which an energy optimal schedule is computed for a huge A , and then the energy optimal ...
Pruhs, Kirk +2 more
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Adaptive learning and p-best response sets
International Journal of Game Theory, 2011zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Durieu, Jacques +2 more
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