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...
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...
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...
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...
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....