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CORR
2010
Springer
105views Education» more  CORR 2010»
13 years 6 months ago
Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
Sarah Filippi, Olivier Cappé, Aurelien Gari...
INFOCOM
2008
IEEE
14 years 2 months ago
Complex Network Measurements: Estimating the Relevance of Observed Properties
Abstract—Complex networks, modeled as large graphs, received much attention during these last years. However, data on such networks is only available through intricate measuremen...
Matthieu Latapy, Clémence Magnien
INFOCOM
2010
IEEE
13 years 6 months ago
Distance Estimation by Constructing The Virtual Ruler in Anisotropic Sensor Networks
Abstract—Distance estimation is fundamental for many functionalities of wireless sensor networks and has been studied intensively in recent years. A critical challenge in distanc...
Yun Wang, Kai Li, Jie Wu
GECCO
2007
Springer
172views Optimization» more  GECCO 2007»
14 years 2 months ago
Real-coded ECGA for economic dispatch
In this paper, we propose a new approach that consists of the extended compact genetic algorithm (ECGA) and split-ondemand (SoD), an adaptive discretization technique, to economic...
Chao-Hong Chen, Ying-Ping Chen
GECCO
2004
Springer
129views Optimization» more  GECCO 2004»
14 years 1 months ago
Memetic Optimization of Video Chain Designs
Abstract. Improving image quality is the backbone of highly competitive display industry. Contemporary video processing system design is a challenging optimization problem. General...
Walid Ali, Alexander P. Topchy