most citedDeep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks

19 citations · 19 across the 1 of their papers we have counts for

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1 paper

cs.NI2018★ 19 cited

Deep Reinforcement Learning for Dynamic Multichannel Access in Wireless Networks

Shangxing Wang, Hanpeng Liu, Pedro Henrique Gomes +1

We consider a dynamic multichannel access problem, where multiple correlated channels follow an unknown joint Markov model. A user at each time slot selects a channel to transmit d…