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» Decision Problems for Nash Equilibria in Stochastic Games
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ICML
2000
IEEE
14 years 8 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»
13 years 9 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»
13 years 7 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
13 years 11 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»
13 years 7 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...