Results 291 to 300 of about 13,466,899 (339)
Some of the next articles are maybe not open access.

Best-Response Dynamics for Evolutionary Stochastic Games

International Game Theory Review, 2023
We 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.
openaire   +2 more sources

Solving Zero-Sum Games Using Best-Response Oracles with Applications to Search Games

Operational Research, 2017
How 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
semanticscholar   +1 more source

Differentiable best response shaping

2023
Cette 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
openaire   +1 more source

The Efficiency of Best-Response Dynamics

Algorithmic Game Theory, 2017
Best 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
semanticscholar   +1 more source

Best response dynamics for role games [PDF]

open access: possibleInternational Journal of Game Theory, 2002
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +3 more sources

Bayes-ToMoP: A Fast Detection and Best Response Algorithm Towards Sophisticated Opponents

Adaptive Agents and Multi-Agent Systems, 2018
Multiagent 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
semanticscholar   +1 more source

Distributed Variable Sample-Size Gradient-Response and Best-Response Schemes for Stochastic Nash Equilibrium Problems

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
semanticscholar   +1 more source

Response to Best Practices

Journal of Applied Communication Research, 2006
Communicating successfully in a crisis is a daunting endeavor even for seasoned communication professionals.
openaire   +1 more source

Getting the Best Response for Your Erg

ACM Transactions on Algorithms, 2004
We 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
openaire   +2 more sources

Adaptive learning and p-best response sets

International Journal of Game Theory, 2011
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Durieu, Jacques   +2 more
openaire   +2 more sources

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