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137
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GECCO
2010
Springer
153views Optimization» more  GECCO 2010»
15 years 6 months ago
Multi-task evolutionary shaping without pre-specified representations
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
Matthijs Snel, Shimon Whiteson
99
Voted
DAGSTUHL
2007
15 years 4 months ago
Learning in Parallel Universes
This abstract summarizes a brief, preliminary formalization of learning in parallel universes. It also attempts to highlight a few neighboring learning paradigms to illustrate how ...
Michael R. Berthold, Bernd Wiswedel
155
Voted
ICALT
2009
IEEE
15 years 7 months ago
A General Architecture for the Integration of Educational Videogames in Standards-compliant Virtual Learning Environments
Although Virtual Learning Environments have become popular educational tools, they remain a very active research topic. Two important aspects being discussed for next-generation V...
Ángel del Blanco, Javier Torrente, Pablo Mo...
ICALT
2007
IEEE
15 years 9 months ago
Visualizing Narrative Structures and Learning Style Information in Personalized e-Learning Systems
This paper proposes a novel approach to the visualization of complex, but interrelated, sets of information to ease user cognition. Principally, it explores the potential of provi...
Fionán Peter Williams, Owen Conlan
GI
2007
Springer
15 years 9 months ago
Supporting Cross-Application Contexts with Dynamic User Interface Fusion
: Currently, user interfaces are defined by single applications but workflows may span multiple ones. In the result, users have to work with separated programs in parallel and de...
Pascal Bihler, Holger Mügge