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» Qualitative reinforcement learning
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ICML
2006
IEEE
14 years 10 months ago
An intrinsic reward mechanism for efficient exploration
How should a reinforcement learning agent act if its sole purpose is to efficiently learn an optimal policy for later use? In other words, how should it explore, to be able to exp...
Özgür Simsek, Andrew G. Barto
AAAI
1996
13 years 10 months ago
Evolution-Based Discovery of Hierarchical Behaviors
Procedural representations of control policies have two advantages when facing the scale-up problem in learning tasks. First they are implicit, with potential for inductive genera...
Justinian P. Rosca, Dana H. Ballard
JIRS
2007
116views more  JIRS 2007»
13 years 9 months ago
Recognition of Human Motion From Qualitative Normalised Templates
Abstract This paper proposes a Qualitative Normalised Templates (QNTs) framework for solving the human motion classification problem. In contrast to other human motion classifica...
Chee Seng Chan, Honghai Liu, David J. Brown
ICALT
2006
IEEE
14 years 3 months ago
Neuro Fuzzy Reasoner for Student Modeling
This paper presents a neuro-fuzzy system that can be used for student modeling. The proposed system enables classification of students based on qualitative observations of their c...
Zoran Sevarac
IROS
2009
IEEE
126views Robotics» more  IROS 2009»
14 years 3 months ago
Hierarchical appearance-based classifiers for qualitative spatial localization
—This paper presents a novel appearance-based technique for qualitative spatial localization. A vocabulary of visual words is built automatically, representing local features tha...
Ehsan Fazl Ersi, James H. Elder, John K. Tsotsos