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» Learning of Resource Allocation Strategies for Game Playing
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ATAL
2011
Springer
12 years 7 months ago
Game theory-based opponent modeling in large imperfect-information games
We develop an algorithm for opponent modeling in large extensive-form games of imperfect information. It works by observing the opponent’s action frequencies and building an opp...
Sam Ganzfried, Tuomas Sandholm
COLT
2003
Springer
14 years 1 months ago
On-Line Learning with Imperfect Monitoring
We study on-line play of repeated matrix games in which the observations of past actions of the other player and the obtained reward are partial and stochastic. We define the Part...
Shie Mannor, Nahum Shimkin
UAI
2008
13 years 9 months ago
Learning and Solving Many-Player Games through a Cluster-Based Representation
In addressing the challenge of exponential scaling with the number of agents we adopt a cluster-based representation to approximately solve asymmetric games of very many players. ...
Sevan G. Ficici, David C. Parkes, Avi Pfeffer
DIGRA
2005
Springer
14 years 1 months ago
Pretty good for a girl: gender, identity and computer games
Young people’s participation in online digital culture is one of the most efficient means by which they become proficient in the management of Information and Communications Tec...
Catherine Beavis
GECCO
2009
Springer
124views Optimization» more  GECCO 2009»
14 years 11 days 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