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GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
15 years 2 months ago
Reinforcement learning for games: failures and successes
We apply CMA-ES, an evolution strategy with covariance matrix adaptation, and TDL (Temporal Difference Learning) to reinforcement learning tasks. In both cases these algorithms se...
Wolfgang Konen, Thomas Bartz-Beielstein
CORR
2007
Springer
111views Education» more  CORR 2007»
14 years 9 months ago
A New Perspective on Multi-user Power Control Games in Interference Channels
This paper considers the problem of how to allocate power among competing users sharing a frequency-selective interference channel. We model the interaction between these selfish ...
Yi Su, Mihaela van der Schaar
STOC
2007
ACM
101views Algorithms» more  STOC 2007»
15 years 10 months ago
Toward a general theory of quantum games
We study properties of quantum strategies, which are complete specifications of a given party's actions in any multiple-round interaction involving the exchange of quantum in...
Gus Gutoski, John Watrous
CIG
2005
IEEE
15 years 3 months ago
Synchronous and Asynchronous Network Evolution in a Population of Stubborn Prisoners
— We study by computer simulation a population of individuals playing the prisoner’s dilemma game. Each player has an invariable strategy (cooperate or defect) but the network ...
Leslie Luthi, Mario Giacobini, Marco Tomassini
ECAL
2005
Springer
15 years 3 months ago
Emergence of Structure and Stability in the Prisoner's Dilemma on Networks
We study a population of individuals playing the prisoner’s dilemma game. Individual strategies are invariable but the network of relationships between players is allowed to chan...
Leslie Luthi, Mario Giacobini, Marco Tomassini