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ATAL
2007
Springer
14 years 3 months ago
IFSA: incremental feature-set augmentation for reinforcement learning tasks
Reinforcement learning is a popular and successful framework for many agent-related problems because only limited environmental feedback is necessary for learning. While many algo...
Mazda Ahmadi, Matthew E. Taylor, Peter Stone
AIED
2007
Springer
14 years 3 months ago
The Influence of Learner Characteristics on Task-Oriented Tutorial Dialogue
Tutorial dialogue has been the subject of increasing attention in recent years, and it has become evident that empirical studies of humanhuman tutorial dialogue can contribute impo...
Kristy Elizabeth Boyer, Mladen A. Vouk, James C. L...
KCAP
2003
ACM
14 years 2 months ago
Building large knowledge bases by mass collaboration
Acquiring knowledge has long been the major bottleneck preventing the rapid spread of AI systems. Manual approaches are slow and costly. Machine-learning approaches have limitatio...
Matthew Richardson, Pedro Domingos
CIKM
2011
Springer
12 years 8 months ago
Toward interactive training and evaluation
Machine learning often relies on costly labeled data, and this impedes its application to new classification and information extraction problems. This has motivated the developme...
Gregory Druck, Andrew McCallum
ATAL
2008
Springer
13 years 10 months ago
An adaptive and customizable feedback system for VR-based training simulators
This paper describes a proposal to build an intelligent feedback selection system for Virtual Reality-based training simulators. The system is aimed at generating multimodal feedb...
Maite Lopez-Garate, Alberto Lozano-Rodero, Luis M....