Distributed correlated Q-learning for dynamic transmission control of sensor networks


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… (More)
DOI: 10.1109/ICASSP.2010.5495265


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