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EUROCAST
2007
Springer
182views Hardware» more  EUROCAST 2007»
14 years 2 months ago
A k-NN Based Perception Scheme for Reinforcement Learning
Abstract a paradigm of modern Machine Learning (ML) which uses rewards and punishments to guide the learning process. One of the central ideas of RL is learning by “direct-online...
José Antonio Martin H., Javier de Lope Asia...
ROBOCUP
2004
Springer
118views Robotics» more  ROBOCUP 2004»
14 years 1 months ago
Approaching Urban Disaster Reality: The ResQ Firesimulator
The RoboCupRescue Simulation project aims at simulating large-scale disasters in order to explore coordination strategies helpful for real-life rescue missions. This can only be ac...
Timo A. Nüssle, Alexander Kleiner, Michael Br...
CHI
2007
ACM
14 years 16 days ago
Social responses to virtual humans: implications for future interface design
Do human-human social interactions carry over to humanvirtual human social interactions? How does this affect future interface designers? We replicated classical tests of social i...
Catherine A. Zanbaka, Amy Catherine Ulinski, Paula...
ICAS
2006
IEEE
128views Robotics» more  ICAS 2006»
14 years 2 months ago
The AML Approach to Modeling Autonomic Systems
Autonomic systems are typically distributed, complex and concurrent systems, comprised of multiple interacting autonomic elements that often exhibit emergent behavior. Design and ...
Radovan Cervenka, Dominic A. P. Greenwood, Ivan Tr...
ICRA
2005
IEEE
146views Robotics» more  ICRA 2005»
14 years 2 months ago
Probabilistic Gaze Imitation and Saliency Learning in a Robotic Head
— Imitation is a powerful mechanism for transferring knowledge from an instructor to a na¨ıve observer, one that is deeply contingent on a state of shared attention between the...
Aaron P. Shon, David B. Grimes, Chris Baker, Matth...