847 search results - page 26 / 170 » Learning Action Selection Network of Intelligent Agent |
146
Voted
SAC
2005
ACM
15 years 7 months ago
2005
ACM
This paper presents a novel model of reinforcement learning agents. A feature of our learning agent model is to integrate analytic hierarchy process (AHP) into a standard reinforc...
104
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FDG
2009
ACM
15 years 8 months ago
2009
ACM
In this paper, I will discuss a set of techniques for supporting limited variable binding in behavior-based systems. This adds additional useful expressivity while preserving the ...
119
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ATAL
2010
Springer
15 years 2 months ago
2010
Springer
The central problem of designing intelligent robot systems which learn by demonstrations of desired behaviour has been largely studied within the field of robotics. Numerous archi...
100
Voted
IJCNN
2006
IEEE
15 years 7 months ago
2006
IEEE
Abstract— Groups of reinforcement learning agents interacting in a common environment often fail to learn optimal behaviors. Poor performance is particularly common in environmen...
136
Voted
IAT
2010
IEEE
14 years 11 months ago
2010
IEEE
It is crucial for embedded systems to adapt to the dynamics of open environments. This adaptation process becomes especially challenging in the context of multiagent systems. In t...