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NN
2006
Springer
108views Neural Networks» more  NN 2006»
14 years 9 months ago
Performance analysis of LVQ algorithms: A statistical physics approach
Learning vector quantization (LVQ) constitutes a powerful and intuitive method for adaptive nearest prototype classification. However, original LVQ has been introduced based on he...
Anarta Ghosh, Michael Biehl, Barbara Hammer
ICRA
2003
IEEE
116views Robotics» more  ICRA 2003»
15 years 3 months ago
Learning to role-switch in multi-robot systems
We present an approach that uses Q-learning on individual robotic agents, for coordinating a missiontasked team of robots in a complex scenario. To reduce the size of the state sp...
Eric Martinson, Ronald C. Arkin
CORR
2008
Springer
147views Education» more  CORR 2008»
14 years 10 months ago
A Minimum Relative Entropy Principle for Learning and Acting
This paper proposes a method to construct an adaptive agent that is universal with respect to a given class of experts, where each expert is designed specifically for a particular...
Pedro A. Ortega, Daniel A. Braun
CORR
2007
Springer
73views Education» more  CORR 2007»
14 years 9 months ago
Universal Reinforcement Learning
—We consider an agent interacting with an unmodeled environment. At each time, the agent makes an observation, takes an action, and incurs a cost. Its actions can influence futu...
Vivek F. Farias, Ciamac Cyrus Moallemi, Tsachy Wei...
ACL
2010
14 years 7 months ago
On Learning Subtypes of the Part-Whole Relation: Do Not Mix Your Seeds
An important relation in information extraction is the part-whole relation. Ontological studies mention several types of this relation. In this paper, we show that the traditional...
Ashwin Ittoo, Gosse Bouma