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144
Voted
ICRA
2009
IEEE
227views Robotics» more  ICRA 2009»
15 years 10 months ago
Adaptive autonomous control using online value iteration with gaussian processes
— In this paper, we present a novel approach to controlling a robotic system online from scratch based on the reinforcement learning principle. In contrast to other approaches, o...
Axel Rottmann, Wolfram Burgard
PRIMA
2009
Springer
15 years 10 months ago
Recursive Adaptation of Stepsize Parameter for Non-stationary Environments
In this article, we propose a method to adapt stepsize parameters used in reinforcement learning for dynamic environments. In general reinforcement learning situations, a stepsize...
Itsuki Noda
KDD
2005
ACM
143views Data Mining» more  KDD 2005»
16 years 4 months ago
SVM selective sampling for ranking with application to data retrieval
Learning ranking (or preference) functions has been a major issue in the machine learning community and has produced many applications in information retrieval. SVMs (Support Vect...
Hwanjo Yu
121
Voted
APCHI
2004
IEEE
15 years 7 months ago
Understanding Interaction Experience in Mobile Learning
The convergence of mobile technology and e-learning has generated considerable excitement among both practitioners and academics. Mass media continually promotes novel idea about m...
Fariza Hanis Abdul Razak
ALT
2008
Springer
16 years 21 days ago
Optimal Language Learning
Gold’s original paper on inductive inference introduced a notion of an optimal learner. Intuitively, a learner identifies a class of objects optimally iff there is no other lea...
John Case, Samuel E. Moelius