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TSMC
2008
132views more  TSMC 2008»
14 years 9 months ago
Ensemble Algorithms in Reinforcement Learning
This paper describes several ensemble methods that combine multiple different reinforcement learning (RL) algorithms in a single agent. The aim is to enhance learning speed and fin...
Marco A. Wiering, Hado van Hasselt
TWC
2008
125views more  TWC 2008»
14 years 9 months ago
Cooperative communications with relay-selection: when to cooperate and whom to cooperate with?
Abstract--In this paper, we propose a new cooperative communication protocol, which achieves higher bandwidth efficiency while guaranteeing the same diversity order as that of the ...
Ahmed S. Ibrahim, Ahmed K. Sadek, Weifeng Su, K. J...
CCE
2004
14 years 9 months ago
Stochastic maximum principle for optimal control under uncertainty
Optimal control problems involve the difficult task of determining time-varying profiles through dynamic optimization. Such problems become even more complex in practical situatio...
Vicente Rico-Ramírez, Urmila M. Diwekar
CVGIP
2000
124views more  CVGIP 2000»
14 years 9 months ago
Hierarchical Solutions for the Deformable Surface Problem in Visualization
In this paper we present a hierarchical approach for the deformable surface technique. This technique is a three dimensional extension of the snake segmentation method. We use it ...
Christoph Lürig, Leif Kobbelt, Thomas Ertl
NCA
2002
IEEE
14 years 9 months ago
The Construction of Smooth Models using Irregular Embeddings Determined by a Gamma Test Analysis
One of the key problems in forming a smooth model from input-output data is the determination of which input variables are relevant in predicting a given output. In this paper we ...
Alban P. M. Tsui, Antonia J. Jones, A. Guedes de O...