… machine learning-based approach to virtual network resource management. We propose to
model the substrate network as a decentralised system and introduce a learning algorithm in …

… reinforcement learning method to virtual network embedding. … a policy network based on
reinforcement learning to make … policy network with the historical data based on virtual network …

… This algorithm proposes an autonomous system based on … network to improve the mapping
efficiency of virtual network. In reference [22], Q-learning algorithm in reinforcement learning …

… the dynamic characteristics of virtual network request (VNR) … of VNE algorithm, which applied
reinforcement learning (RL) … , “A novel reinforcement learning algorithm for virtual network …

… algorithm for automatic virtual network embedding based on deep reinforcement learning.
In particular, a novel neural … The architecture of our learning algorithm is shown in Fig. 4. …

… embedding Virtual Networks (VN) in a Substrate Network (SN) is the main resource allocation
challenge in network virtualization. The major challenge of the Virtual Network Embedding …

… a Reinforcement-Learning-based algorithm able to process … ISPs (eg, details about a virtual
function are only revealed to the … The main drawback of our algorithm is the high overhead of …

… virtual network. In this paper, we aim to propose a unified and flexible multi-layer VNE algorithm
combining with reinforcement learning to … learning algorithm. The Back propagation (BP) …

… We define a suitable reward signal so that the learning algorithm achieves the long-term
goal of minimizing the probability that an arriving VN can not be embedded. • We provide …

… chine learning algorithms in the NFV orchestrator to predict initial VNF instance placement
in a network … The BACON algorithm is a near-optimal placement algorithm that considers the …