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» Using Learning in a Control Agent
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ITS
1992
Springer
120views Multimedia» more  ITS 1992»
15 years 6 months ago
Distributed Learning Companion System: WEST Revisited
This paper describes a distributed learning system which consists of two connected computers so that students can learn in collaboration and/or competition at different locations. ...
Tak-Wai Chan, I-Ling Chung, Rong-Guey Ho, Wen-Juan...
115
Voted
AAAI
1998
15 years 3 months ago
Optimal 2D Model Matching Using a Messy Genetic Algorithm
A Messy Genetic Algorithm is customized toflnd'optimal many-to-many matches for 2D line segment models. The Messy GA is a variant upon the Standard Genetic Algorithm in which...
J. Ross Beveridge
125
Voted
AAAI
2004
15 years 4 months ago
A Qualitative-Quantitative Methods-Based e-Learning Support System in Economic Education
This paper describes a new qualitative-quantitative simulator to help buyers learn how to make decisions when they purchase goods. In this paper, we propose an elearning support s...
Tokuro Matsuo, Takayuki Ito, Toramatsu Shintani
142
Voted
NN
2010
Springer
187views Neural Networks» more  NN 2010»
14 years 9 months ago
Efficient exploration through active learning for value function approximation in reinforcement learning
Appropriately designing sampling policies is highly important for obtaining better control policies in reinforcement learning. In this paper, we first show that the least-squares ...
Takayuki Akiyama, Hirotaka Hachiya, Masashi Sugiya...
ICML
2010
IEEE
15 years 3 months ago
On the Interaction between Norm and Dimensionality: Multiple Regimes in Learning
A learning problem might have several measures of complexity (e.g., norm and dimensionality) that affect the generalization error. What is the interaction between these complexiti...
Percy Liang, Nati Srebro