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ATAL
2006
Springer
15 years 1 months ago
Action awareness: enabling agents to optimize, transform, and coordinate plans
As agent systems are solving more and more complex tasks in increasingly challenging domains, the systems themselves are becoming more complex too, often compromising their adapti...
Freek Stulp, Michael Beetz
ESAW
2000
Springer
15 years 1 months ago
On Observing and Constraining Active Systems
While agents have emphasised the notion of active software components, they are not likely to be the only active components in agent-based systems. In this paper, we first discuss ...
Gianluca Moro, Mirko Viroli
ESANN
2008
14 years 11 months ago
Learning to play Tetris applying reinforcement learning methods
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...
Alexander Groß, Jan Friedland, Friedhelm Sch...
AR
2008
118views more  AR 2008»
14 years 9 months ago
Efficient Behavior Learning Based on State Value Estimation of Self and Others
The existing reinforcement learning methods have been seriously suffering from the curse of dimension problem especially when they are applied to multiagent dynamic environments. ...
Yasutake Takahashi, Kentarou Noma, Minoru Asada