@inproceedings{65fcbdaff53b45caa9ab4b03d4801d21,
title = "Distributed correlated Q-learning for dynamic transmission control of sensor networks",
abstract = "This paper considers a Markovian dynamical game theoretic setting for distributed transmission control in a wireless sensor network. The available spectrum bandwidth is modeled as a Markov chain. A distributed algorithm named correlated Q-learning algorithm is proposed to obtain the correlated equilibrium policies of the system. This algorithm has the decentralized feature and is easily implementable in a real system. Numerical example is also provided to verify the performances of the proposed algorithms.",
keywords = "Distributed algorithms, Game theory, Multisensor systems, Stochastic games",
author = "Huang, {Jane Wei} and Quanyan Zhu and Vikram Krishnamurthy and Tamer Basar",
year = "2010",
doi = "10.1109/ICASSP.2010.5495265",
language = "English (US)",
isbn = "9781424442966",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1982--1985",
booktitle = "2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 - Proceedings",
note = "2010 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2010 ; Conference date: 14-03-2010 Through 19-03-2010",
}