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ICRA
2009
IEEE
169views Robotics» more  ICRA 2009»
15 years 10 months ago
Task-level imitation learning using variance-based movement optimization
— Recent advances in the field of humanoid robotics increase the complexity of the tasks that such robots can perform. This makes it increasingly difficult and inconvenient to ...
Manuel Mühlig, Michael Gienger, Sven Hellbach...
ICML
2010
IEEE
15 years 5 months ago
Bayesian Multi-Task Reinforcement Learning
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
Alessandro Lazaric, Mohammad Ghavamzadeh
JCAL
1998
94views more  JCAL 1998»
15 years 3 months ago
Design issues of a distance learning course on Business on the Internet
The paper presents the main design issues of a distance learning course on Business on the Internet. The instructional design is based on a learner centered instructional stratedy...
Krassen Stefanov, Svetoslav Stoyanov, Roumen Nikol...
GECCO
2008
Springer
148views Optimization» more  GECCO 2008»
15 years 5 months ago
On the effects of node duplication and connection-oriented constructivism in neural XCSF
For artificial entities to achieve high degrees of autonomy they will need to display appropriate adaptability. In this sense adaptability includes representational flexibility gu...
Gerard David Howard, Larry Bull
GECCO
2007
Springer
186views Optimization» more  GECCO 2007»
15 years 10 months ago
Cascaded generic XCS to learn about reminding preferences
We are developing an adaptive reminding system, which learns when and how to present notifications. In this paper, we focus on our XCS-based model, composed of two cascaded sets ...
Nadine Richard, Samuel Tardieu, Seiji Yamada