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ATAL
2009
Springer
14 years 10 months ago
Replicator Dynamics for Multi-agent Learning: An Orthogonal Approach
Today's society is largely connected and many real life applications lend themselves to be modeled as multi-agent systems. Although such systems as well as their models are d...
Michael Kaisers, Karl Tuyls
95
Voted
IROS
2008
IEEE
111views Robotics» more  IROS 2008»
15 years 7 months ago
Learning perceptual coupling for motor primitives
—Dynamic system-based motor primitives [1] have enabled robots to learn complex tasks ranging from Tennisswings to locomotion. However, to date there have been only few extension...
Jens Kober, Betty J. Mohler, Jan Peters
IWDC
2004
Springer
153views Communications» more  IWDC 2004»
15 years 6 months ago
APPLE: A Novel P2P Based e-Learning Environment
With the rapid development of information technology, dramatic changes have been taken place in the fundamental ways that people acquire and disseminate knowledge. Various e-Learni...
Hai Jin, Zuoning Yin, Xudong Yang, Fucheng Wang, J...
APBC
2003
116views Bioinformatics» more  APBC 2003»
15 years 1 months ago
An Empirical Comparison of Supervised Machine Learning Techniques in Bioinformatics
Research in bioinformatics is driven by the experimental data. Current biological databases are populated by vast amounts of experimental data. Machine learning has been widely ap...
Aik Choon Tan, David Gilbert
93
Voted
CRV
2009
IEEE
206views Robotics» more  CRV 2009»
15 years 7 months ago
Unsupervised Learning of Terrain Appearance for Automated Coral Reef Exploration
We describe a navigation and coverage system based on unsupervised learning driven by visual input. Our objective is to allow a robot to remain continuously moving above a terrain...
Philippe Giguère, Gregory Dudek, Chris Prah...