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» Learning and reasoning about interruption
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AAAI
2006
13 years 8 months ago
Distributed Interactive Learning in Multi-Agent Systems
Both explanation-based and inductive learning techniques have proven successful in a variety of distributed domains. However, learning in multi-agent systems does not necessarily ...
Jian Huang, Adrian R. Pearce
CHI
2005
ACM
14 years 7 months ago
Towards an index of opportunity: understanding changes in mental workload during task execution
To contribute to systems that reason about human attention, our work empirically demonstrates how a user's mental workload changes during task execution. We conducted a study...
Shamsi T. Iqbal, Piotr D. Adamczyk, Xianjun Sam Zh...
ICCBR
2003
Springer
14 years 20 days ago
Using Evolution Programs to Learn Local Similarity Measures
Abstract. The definition of similarity measures is one of the most crucial aspects when developing case-based applications. In particular, when employing similarity measures that ...
Armin Stahl, Thomas Gabel
IJCAI
2007
13 years 9 months ago
An Experts Algorithm for Transfer Learning
A long-lived agent continually faces new tasks in its environment. Such an agent may be able to use knowledge learned in solving earlier tasks to produce candidate policies for it...
Erik Talvitie, Satinder Singh
ISRR
2005
Springer
154views Robotics» more  ISRR 2005»
14 years 29 days ago
Session Overview Planning
ys when planning meant searching for a sequence of abstract actions that satisfied some symbolic predicate. Robots can now learn their own representations through statistical infe...
Nicholas Roy, Roland Siegwart