Quantum reinforcement learning for dynamic spectrum access in cognitive radio networks
This thesis proposes Quantum Reinforcement Learning (QRL) as an improvement to conventional reinforcement learning-based dynamic spectrum access used within cognitive radio networks. The aim is to overcome the slow convergence problem associated with exploration within reinforcement learning schemes...
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University of York
2016
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| Online Access: | https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.698336 |