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AAAI
2006
13 years 9 months ago
Reinforcement Learning with Human Teachers: Evidence of Feedback and Guidance with Implications for Learning Performance
As robots become a mass consumer product, they will need to learn new skills by interacting with typical human users. Past approaches have adapted reinforcement learning (RL) to a...
Andrea Lockerd Thomaz, Cynthia Breazeal
ICMI
2003
Springer
143views Biometrics» more  ICMI 2003»
14 years 28 days ago
Mutual disambiguation of 3D multimodal interaction in augmented and virtual reality
We describe an approach to 3D multimodal interaction in immersive augmented and virtual reality environments that accounts for the uncertain nature of the information sources. The...
Edward C. Kaiser, Alex Olwal, David McGee, Hrvoje ...
FLAIRS
2000
13 years 9 months ago
Reasoning from Data Rather than Theory
Thecurrent frameworkfor constructing intelligent tutoring systems(ITS) is to use psychological/pedagogical theories of learning, and encode this knowledgeinto the tutor. However,t...
Joseph E. Beck, Beverly Park Woolf
CAINE
2010
13 years 5 months ago
Real-Time Emotional Speech Processing for Neurorobotics Applications
The ability for humans to understand and process the emotional content of speech is unsurpassed by simulated intelligent agents. Beyond the linguistic content of speech are the un...
Corey M. Thibeault, Oscar Sessions, Philip H. Good...
IUI
2005
ACM
14 years 1 months ago
Active preference learning for personalized calendar scheduling assistance
We present PLIANT, a learning system that supports adaptive assistance in an open calendaring system. PLIANT learns user preferences from the feedback that naturally occurs during...
Melinda T. Gervasio, Michael D. Moffitt, Martha E....