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Network virtualization techniques enable network operators to implement and provide multiple virtual networks (VNs) on a common substrate network infrastructure. The network resources should be able to be dynamically reallocated among VNs or migrated from a place to another one in various situations, such as to construct a new urgent VN in case of occurrence of some urgent contingency, or to satisfy quality of service (QoS) requirements of non-urgent VNs in case of time-varying network traffic conditions as much as possible. In this paper, we propose methods to automatically and dynamically select and migrate resources of non-urgent VNs. In particular, our proposal applies reinforcement learning for the selection of resources from alternate places to satisfy the QoS requirements. We evaluate the performances in terms of the satisfaction level of QoS requirement with various frequency of network traffic …