×
AllNewsBooksImages Maps Videos Shopping
Search tools

Learning-Aided Stochastic Network Optimization With State Prediction

ieeexplore.ieee.org › abstract › document
Jul 19, 2018 · We investigate the problem of stochastic network optimization in the presence of state prediction and nonstationarity.

Scholarly articles for Learning-Aided Stochastic Network Optimization With State Prediction.

scholar.google.com › citations
Learning-aided stochastic network optimization with …
Huang · Cited by 9
Learning-aided stochastic network optimization with …
Huang · Cited by 8

Learning-aided Stochastic Network Optimization with Imperfect State ...

arxiv.org › math
May 15, 2017 · Abstract:We investigate the problem of stochastic network optimization in the presence of imperfect state prediction and non-stationarity.

Learning-Aided Stochastic Network Optimization With State Prediction

dl.acm.org › doi › TNET.2018.2854593
We investigate the problem of stochastic network optimization in the presence of state prediction and non-stationarity. Based on a novel state prediction ...

Learning-Aided Stochastic Network Optimization With State Prediction

ieeexplore.ieee.org › iel7
Abstract—We investigate the problem of stochastic network optimization in the presence of state prediction and non- stationarity. Based on a novel state ...

Learning-aided Stochastic Network Optimization with Imperfect State ...

dl.acm.org › doi
Our results demonstrate that state prediction (even imperfect) can help (i) achieve faster detection and convergence, and (ii) obtain better utility-delay ...

[PDF] Learning-aided Stochastic Network Optimization with Imperfect State ...

iiis.tsinghua.edu.cn › plc-mobihoc-17
Jul 10, 2017 · ABSTRACT. We investigate the problem of stochastic network optimization in the presence of imperfect state prediction and non-stationarity.

Learning-aided Stochastic Network Optimization with Imperfect State ...

colab.ws › articles
We investigate the problem of stochastic network optimization in the presence of imperfect state prediction and non-stationarity.

Learning-aided Stochastic Network Optimization

nas.iiis.tsinghua.edu.cn › research
In this research thrust, we are interested in (i) quantifying fundamental benefits and limits of learning in network optimization, and (ii) designing simple and ...

[PDF] Receding learning-aided control in stochastic networks ...

www.semanticscholar.org › paper › Rece...
The results demonstrate that state prediction (even imperfect) can help to achieve faster detection and convergence, and obtain better utility-delay ...

Learning-aided Stochastic Network Optimization with Imperfect State ...

m.booksci.cn › literature
Abstract. We investigate the problem of stochastic network optimization in the presence of imperfect state prediction and non-stationarity.