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» Lyapunov Function Based Fuzzy State Estimator
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ATAL
2007
Springer
14 years 1 months ago
Model-based function approximation in reinforcement learning
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
Nicholas K. Jong, Peter Stone
SIGCOMM
1991
ACM
13 years 11 months ago
A Control-Theoretic Approach to Flow Control
This paper presents a control-theoretic approach to reactive flow control in networks that do not reserve bandwidth. We assume a round-robin-like queue service discipline in the o...
Srinivasan Keshav
CSL
2012
Springer
12 years 3 months ago
Reinforcement learning for parameter estimation in statistical spoken dialogue systems
Reinforcement techniques have been successfully used to maximise the expected cumulative reward of statistical dialogue systems. Typically, reinforcement learning is used to estim...
Filip Jurcícek, Blaise Thomson, Steve Young
ICASSP
2011
IEEE
12 years 11 months ago
Time prediction of non flat fading channels
In this paper three different techniques to predict the channel transfer functions of non flat fading channels in multiple antenna systems are investigated. The prediction is don...
Nico Palleit, Tobias Weber
COMCOM
2006
112views more  COMCOM 2006»
13 years 7 months ago
Dynamic server selection using fuzzy inference in content distribution networks
To accommodate the exponential growth of Web traffic, Content Distribution Networks (CDN) have been designed and deployed to distribute content to different cache servers, and to ...
Lin Cai, Jun Ye, Jianping Pan, Xuemin Shen, Jon W....