754 search results - page 85 / 151 » Learning executable agent behaviors from observation |
114
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ATAL
2004
Springer
15 years 10 months ago
2004
Springer
We propose an adaptive 1-to-many negotiation strategy for multiagent coalition formation in dynamic, uncertain, real-time, and noisy environments. Our strategy focuses on multi-is...
153
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ICML
2007
IEEE
16 years 5 months ago
2007
IEEE
Conditional random fields (CRFs) are graphical models for modeling the probability of labels given the observations. They have traditionally been trained with using a set of obser...
131
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ICRA
2010
IEEE
15 years 3 months ago
2010
IEEE
— This paper addresses the problem of acquiring a hierarchically structured robotic skill in a nonstationary environment. This is achieved through a combination of learning primi...
153
Voted
ATAL
2010
Springer
15 years 5 months ago
2010
Springer
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
140
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ICEIS
2009
IEEE
15 years 11 months ago
2009
IEEE
Many researchers in the software agent field use the financial domain as a test bed to develop adaptation, cooperation and learning skills of software agents. However, there are no...