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ESANN
2008
14 years 11 months ago
2008
In this paper the application of reinforcement learning to Tetris is investigated, particulary the idea of temporal difference learning is applied to estimate the state value funct...
CEC
2011
IEEE
13 years 9 months ago
2011
IEEE
—Games provide an ideal test bed for computational intelligence and significant progress has been made in recent years, most notably in games such as GO, where the level of play...
ATAL
2009
Springer
14 years 11 months ago
2009
Springer
MAGE (Multi-Agent Game Environment) is a logic-based framework that uses games as a metaphor for representing complex agent activities within an artificial society. More specifical...
CEEMAS
2003
Springer
15 years 3 months ago
2003
Springer
Modeling learning agents in the context of Multi-agent Systems requires an adequate understanding of their dynamic behaviour. Usually, these agents are modeled similar to the di...
SIGECOM
2010
ACM
15 years 2 months ago
2010
ACM
We analyze the complexity of computing pure strategy Nash equilibria (PSNE) in symmetric games with a fixed number of actions. We restrict ourselves to “compact” representati...