8008 search results - page 183 / 1602 » Learning in Multi-Agent Systems |
154
Voted
JAIR
2000
15 years 3 months ago
2000
This paper describes a novel method by which a spoken dialogue system can learn to choose an optimal dialogue strategy from its experience interacting with human users. The method...
127
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ICML
2004
IEEE
16 years 4 months ago
2004
IEEE
Predictive state representations (PSRs) are a recently proposed way of modeling controlled dynamical systems. PSR-based models use predictions of observable outcomes of tests that...
151
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CE
2008
15 years 4 months ago
2008
Taking advantage of the continuously improving, web-based learning systems plays an important role for self-learning, especially in the case of working people. Nevertheless, learn...
142
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AAMAS
2002
Springer
15 years 3 months ago
2002
Springer
Abstract. Open systems are becoming increasingly important in a variety of distributed, networked computer applications. Their characteristics, such as agent diversity, heterogenei...
AIED
2009
Springer
15 years 10 months ago
2009
Springer
: Both gaming the system (taking advantage of the system’s feedback and help to succeed in the tutor without learning the material) and being off-task (engaging in behavior that ...