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JAIR
2000
131views more  JAIR 2000»
15 years 6 months ago
An Application of Reinforcement Learning to Dialogue Strategy Selection in a Spoken Dialogue System for Email
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...
Marilyn A. Walker
ICML
2004
IEEE
16 years 7 months ago
Learning and discovery of predictive state representations in dynamical systems with reset
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...
Michael R. James, Satinder P. Singh
CE
2008
89views more  CE 2008»
15 years 6 months ago
An intelligent e-learning system based on learner profiling and learning resources adaptation
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...
Paraskevi K. Tzouveli, Phivos Mylonas, Stefanos D....
AAMAS
2002
Springer
15 years 6 months ago
Multiagent Learning for Open Systems: A Study in Opponent Classification
Abstract. Open systems are becoming increasingly important in a variety of distributed, networked computer applications. Their characteristics, such as agent diversity, heterogenei...
Michael Rovatsos, Gerhard Weiß, Marco Wolf
AIED
2009
Springer
16 years 1 months ago
The Impact of Off-task and Gaming Behaviors on Learning: Immediate or Aggregate?
: 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 ...
Mihaela Cocea, Arnon Hershkovitz, Ryan Shaun Joaze...