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» Learning to navigate through crowded environments
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IAT
2005
IEEE
14 years 1 months ago
Self-Organizing Cognitive Agents and Reinforcement Learning in Multi-Agent Environment
This paper presents a self-organizing cognitive architecture, known as TD-FALCON, that learns to function through its interaction with the environment. TD-FALCON learns the value ...
Ah-Hwee Tan, Dan Xiao
MC
2003
170views Computer Science» more  MC 2003»
13 years 8 months ago
Social navigation: from the web to the mobile
Social navigation is the alternative way of looking upon navigation in the virtual world: e g instead of navigating the web by maps and hierarchies and search engines, you would n...
Kristina Höök
IDA
2003
Springer
14 years 20 days ago
A Semi-supervised Method for Learning the Structure of Robot Environment Interactions
For a mobile robot to act autonomously, it must be able to construct a model of its interaction with the environment. Oates et al. developed an unsupervised learning method that pr...
Axel Großmann, Matthias Wendt, Jeremy Wyatt
ICMCS
2005
IEEE
134views Multimedia» more  ICMCS 2005»
14 years 1 months ago
Hidden Markov Model Based Characterization of Content Access Patterns in an e-Learning Environment
: Personalized Education (PE) emphasizes the importance of individual differences in learning. To deliver personalized e-learning services and content, PE encompasses the abilities...
Apple W. P. Fok, H. S. Wong, Y. S. Chen
ICRA
2009
IEEE
121views Robotics» more  ICRA 2009»
14 years 2 months ago
Learning sequential visual attention control through dynamic state space discretization
² Similar to humans and primates, artificial creatures like robots are limited in terms of allocation of their resources to huge sensory and perceptual information. Serial process...
Ali Borji, Majid Nili Ahmadabadi, Babak Nadjar Ara...