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NCI
2004
185views Neural Networks» more  NCI 2004»
15 years 3 months ago
Hierarchical reinforcement learning with subpolicies specializing for learned subgoals
This paper describes a method for hierarchical reinforcement learning in which high-level policies automatically discover subgoals, and low-level policies learn to specialize for ...
Bram Bakker, Jürgen Schmidhuber
ICANN
2005
Springer
15 years 8 months ago
Associative Learning in Hierarchical Self Organizing Learning Arrays
In this paper we introduce feedback based associative learning in self-organized learning arrays (SOLAR). SOLAR structures are hierarchically organized and have the ability to clas...
Janusz A. Starzyk, Zhen Zhu, Yue Li
ICPR
2004
IEEE
16 years 3 months ago
Improvement of Bidirectional Recurrent Neural Network for Learning Long-Term Dependencies
Bidirectional recurrent neural network(BRNN) is a noncausal generalization of recurrent neural network(RNN). It can not learn remote information efficiently due to the problem of ...
Jinmiao Chen, Narendra S. Chaudhari
ICC
2007
IEEE
102views Communications» more  ICC 2007»
15 years 8 months ago
Use of Fuzzy Bayesian Clustering to Enhance Generalization Capacity of Radio Network Planning Tool
— To enhance the generalization capacity of a distribution learning method, we propose to use a fuzzy Bayesian framework based on Bayes rules. The precision of the learning resul...
Zakaria Nouir, Berna Sayraç, Benoît F...
HICSS
1994
IEEE
118views Biometrics» more  HICSS 1994»
15 years 6 months ago
A Distributed Architecture for an Instructable Problem Solver
Our research goal is to design systems that enable humans to teach tedious, repetitive, simple tasks to a computer. We propose here a learner/problem solver architecture for such ...
Jacky Baltes, Bruce A. MacDonald