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AUSAI
1999
Springer
14 years 1 months ago
Q-Learning in Continuous State and Action Spaces
Abstract. Q-learning can be used to learn a control policy that maximises a scalar reward through interaction with the environment. Qlearning is commonly applied to problems with d...
Chris Gaskett, David Wettergreen, Alexander Zelins...
ICIW
2008
IEEE
14 years 3 months ago
NAT Traversal for Pure P2P e-Learning System
Abstract—In this paper, we present Network Address Translator (NAT) traversal technique suitable for pure P2P applications, such as a distributed asynchronous Web-Based Training ...
Kazuo Kuramochi, Takao Kawamura, Kazunori Sugahara
ICANN
2007
Springer
14 years 20 days ago
Active Learning to Support the Generation of Meta-examples
Meta-Learning has been used to select algorithms based on the features of the problems being tackled. Each training example in this context, i.e. each meta-example, stores the feat...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
ESANN
2000
13 years 10 months ago
Learning VOR-like stabilization reflexes in robots
We present a binocular robot that learns compensatory camera movements for image stabilization purposes. Most essential in achieving satisfactory image stabilization performance i...
Francesco Panerai, Giorgio Metta, Giulio Sandini
PERCOM
2009
ACM
14 years 3 months ago
Tracking and Annotation in Skills-Based Learning Environments
This paper outlines a series of experiments looking at the annotation and subsequent analysis of skills-based learning and teaching in the domain of Nursing. The experiments used ...
Mark J. Weal, Danius T. Michaelides, Kevin R. Page...