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IROS
2007
IEEE
157views Robotics» more  IROS 2007»
15 years 11 months ago
Autonomous blimp control using model-free reinforcement learning in a continuous state and action space
— In this paper, we present an approach that applies the reinforcement learning principle to the problem of learning height control policies for aerial blimps. In contrast to pre...
Axel Rottmann, Christian Plagemann, Peter Hilgers,...
CONTEXT
2007
Springer
15 years 11 months ago
Adaptive and Context-aware Scenarios for Technology Enhanced Learning System based on a Didactical Theory and a Hierarchical Tas
Among the main issues of future technology-enhanced learning systems, we can mention the following ones: the ability to reuse learning resources (learning objects, tools and servic...
Jean-Louis Tetchueng, Serge Garlatti, Sylvain Laub...
ILP
2004
Springer
15 years 10 months ago
Improving Rule Evaluation Using Multitask Learning
Abstract. This paper introduces Deft, a new multitask learning approach for rule learning algorithms. Like other multitask learning systems, the one proposed here is able to improv...
Mark D. Reid
NEUROSCIENCE
2001
Springer
15 years 9 months ago
Biological Grounding of Recruitment Learning and Vicinal Algorithms in Long-Term Potentiation
Biological networks are capable of gradual learning based on observing a large number of exemplars over time as well as of rapidly memorizing specific events as a result of a sin...
Lokendra Shastri
ALT
2009
Springer
15 years 8 months ago
Learning and Domain Adaptation
Domain adaptation is a fundamental learning problem where one wishes to use labeled data from one or several source domains to learn a hypothesis performing well on a different, y...
Yishay Mansour