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» Adapting SME Learning Environments for Adaptivity
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ICONIP
2009
14 years 9 months ago
Tracking in Reinforcement Learning
Reinforcement learning induces non-stationarity at several levels. Adaptation to non-stationary environments is of course a desired feature of a fair RL algorithm. Yet, even if the...
Matthieu Geist, Olivier Pietquin, Gabriel Fricout
ECTEL
2006
Springer
15 years 3 months ago
From the Analysis of Community Activity to the Appropriation of New Tools. A Methodological Approach for the Development of Info
More and more CoPs have chosen virtual environments and services to support their activities. However, recent research has underlined several problems: the lack of adequate scaffol...
Bernadette Charlier, France Henri, Amaury Daele, M...
HT
2009
ACM
15 years 3 months ago
Dynamic hypertext generation for reusing open corpus content
Adaptive hypermedia systems traditionally focus on providing personalised learning services for formal or informal learners. The learning material is typically sourced from a prop...
Ben Steichen, Séamus Lawless, Alexander O'C...
ICALT
2008
IEEE
15 years 6 months ago
The Role of Emotions in the Design of Personalized Educational Systems
Research on modelling affect and on interfaces adaptation based on affective factors has matured considerably over the past several years, so that designers of educational product...
Zacharias Lekkas, Nikos Tsianos, Panagiotis German...
CEC
2007
IEEE
15 years 6 months ago
Evolving neuromodulatory topologies for reinforcement learning-like problems
— Environments with varying reward contingencies constitute a challenge to many living creatures. In such conditions, animals capable of adaptation and learning derive an advanta...
Andrea Soltoggio, Peter Dürr, Claudio Mattius...