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» Learning behavior styles with inverse reinforcement learning
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ICRA
2010
IEEE
153views Robotics» more  ICRA 2010»
13 years 6 months ago
Learning to navigate through crowded environments
— The goal of this research is to enable mobile robots to navigate through crowded environments such as indoor shopping malls, airports, or downtown side walks. The key research ...
Peter Henry, Christian Vollmer, Brian Ferris, Diet...
30
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ICALT
2009
IEEE
13 years 5 months ago
Eye-Tracking Users' Behavior in Relation to Cognitive Style within an E-learning Environment
Eye-tracking measurements may be used as a method of identifying users' actual behavior in a hypermedia setting. In this research, an eye-tracking experiment was conducted in...
Nikos Tsianos, Panagiotis Germanakos, Zacharias Le...
ROBOCUP
2009
Springer
134views Robotics» more  ROBOCUP 2009»
14 years 2 months ago
Learning Complementary Multiagent Behaviors: A Case Study
As the reach of multiagent reinforcement learning extends to more and more complex tasks, it is likely that the diverse challenges posed by some of these tasks can only be address...
Shivaram Kalyanakrishnan, Peter Stone
ATAL
2005
Springer
14 years 1 months ago
Behavior transfer for value-function-based reinforcement learning
Temporal difference (TD) learning methods [22] have become popular reinforcement learning techniques in recent years. TD methods have had some experimental successes and have been...
Matthew E. Taylor, Peter Stone
ICALT
2009
IEEE
14 years 2 months ago
Indicators for Deducting the Learners' Learning Styles: Case of the Navigation Typology Indicator
Research in individual differences and in particular, learning and cognitive style, has become a basis to consider learner preferences in a web-based educational context. How lear...
Nabila Bousbia, Jean-Marc Labat, Issam Rebaï,...