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» Homotopy Methods to Compute Equilibria in Game Theory
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SAGT
2010
Springer
175views Game Theory» more  SAGT 2010»
13 years 6 months ago
On Learning Algorithms for Nash Equilibria
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...
Constantinos Daskalakis, Rafael Frongillo, Christo...
TCS
2010
13 years 2 months ago
Window-games between TCP flows
We consider network congestion problems between TCP flows and define a new game, the Window-game, which models the problems of network congestion caused by the competing flows. An...
Pavlos S. Efraimidis, Lazaros Tsavlidis, George B....
ATAL
2009
Springer
14 years 2 months ago
Multiagent reinforcement learning: algorithm converging to Nash equilibrium in general-sum discounted stochastic games
This paper introduces a multiagent reinforcement learning algorithm that converges with a given accuracy to stationary Nash equilibria in general-sum discounted stochastic games. ...
Natalia Akchurina
CORR
2010
Springer
164views Education» more  CORR 2010»
13 years 6 months ago
Approximate Nash Equilibria under Stability Conditions
Finding approximate Nash equilibria in n × n bimatrix games is currently one of the main open problems in algorithmic game theory. Motivated in part by the lack of progress on wo...
Maria-Florina Balcan, Mark Braverman
ICALP
2007
Springer
14 years 1 months ago
Strong Price of Anarchy for Machine Load Balancing
As defined by Aumann in 1959, a strong equilibrium is a Nash equilibrium that is resilient to deviations by coalitions. We give tight bounds on the strong price of anarchy for loa...
Amos Fiat, Haim Kaplan, Meital Levy, Svetlana Olon...