4446 search results - page 395 / 890 » Learning Observer Agents |
173
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GECCO
2007
Springer
16 years 29 days ago
2007
Springer
Imagine a group of cooperating agents attempting to allocate tasks amongst themselves without knowledge of their own capabilities. Over time, they develop a belief of their own sk...
246
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ILP
2007
Springer
16 years 29 days ago
2007
Springer
A recurrent question in the design of intelligent agents is how to assign degrees of beliefs, or subjective probabilities, to various events in a relational environment. In the sta...
171
Voted
MINENET
2006
ACM
16 years 23 days ago
2006
ACM
We examine the ability to exploit the hierarchical structure of Internet addresses in order to endow network agents with predictive capabilities. Specifically, we consider Suppor...
210
Voted
AAAI
2008
15 years 9 months ago
2008
We describe HTN-MAKER, an algorithm for learning hierarchical planning knowledge in the form of decomposition methods for Hierarchical Task Networks (HTNs). HTNMAKER takes as inpu...
175
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AAAI
2007
15 years 9 months ago
2007
Sparsity-promoting L1-regularization has recently been succesfully used to learn the structure of undirected graphical models. In this paper, we apply this technique to learn the ...