5995 search results - page 6 / 1199 » Algorithmic Game Theory |
AAAI
2006
13 years 8 months ago
2006
We use game theory to analyze meta-learning algorithms. The objective of meta-learning is to determine which algorithm to apply on a given task. This is an instance of a more gene...
SIGECOM
2006
ACM
14 years 1 months ago
2006
ACM
Finding an equilibrium of an extensive form game of imperfect information is a fundamental problem in computational game theory, but current techniques do not scale to large games...
GLOBECOM
2006
IEEE
14 years 1 months ago
2006
IEEE
— This paper develops a hierarchical iterative OSNR algorithm based on a game theory framework. A Nash game is formulated between channels with channel utility related to maximiz...
DAGSTUHL
2007
13 years 8 months ago
2007
This paper presents a complete survey of the use of homotopy methods in game theory. Homotopies allow for a robust computation of game-theoretic equilibria and their refinements....
SAGT
2010
Springer
13 years 5 months ago
2010
Springer
Can learning algorithms find a Nash equilibrium? This is a natural question for several reasons. Learning algorithms resemble the behavior of players in many naturally arising gam...