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» Decision Problems for Nash Equilibria in Stochastic Games
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ICML
2000
IEEE
16 years 2 months ago
Convergence Problems of General-Sum Multiagent Reinforcement Learning
Stochastic games are a generalization of MDPs to multiple agents, and can be used as a framework for investigating multiagent learning. Hu and Wellman (1998) recently proposed a m...
Michael H. Bowling
APPROX
2010
Springer
207views Algorithms» more  APPROX 2010»
15 years 3 months ago
Exploiting Concavity in Bimatrix Games: New Polynomially Tractable Subclasses
Abstract. We study the fundamental problem of computing an arbitrary Nash equilibrium in bimatrix games. We start by proposing a novel characterization of the set of Nash equilibri...
Spyros C. Kontogiannis, Paul G. Spirakis
CORR
2008
Springer
125views Education» more  CORR 2008»
15 years 2 months ago
Semidefinite programming for N-Player Games
Abstract. We introduce two min-max problems: the first problem is to minimize the supremum of finitely many rational functions over a compact basic semi-algebraic set whereas the s...
Rida Laraki, Jean B. Lasserre
CSE
2009
IEEE
15 years 5 months ago
Equilibria and Efficiency Loss in Games on Networks
Social networks are the substrate upon which we make and evaluate many of our daily decisions: our costs and benefits depend on whether--or how many of, or which of--our friends ar...
Joshua R. Davis, Zachary Goldman, Jacob Hilty, Eli...
CORR
2010
Springer
186views Education» more  CORR 2010»
15 years 2 months ago
Capacitated Caching Games
Capacitated Caching (CC) Games are motivated by P2P and web caching applications, and involve nodes on a network making strategic choices regarding the content to replicate in the...
Ragavendran Gopalakrishnan, Dimitrios Kanoulas, Na...