… reinforcement learning techniques for the placement of VNF-… However, it turns out that even
the most well-known learning … A VNF-FG is deployed when all VNFs and VLs are deployed …

… location of the last VNF in the service chain, and the traffic will be forwarded between the …
VNF node locations. Therefore, in this paper, the node location of the last VNF deployment is …

… the network edge, is considered as an ideal platform for VNF deployment. By … reinforcement
learning for VNF orchestration and flow scheduling. Meanwhile, the reinforcement learning …

… VNF-FG deployment over noncooperative multiple domains. Each domain employs a DRL
agent to learn … A given client who requests VNF-FG embedding receives these prices and …

… in datacenter and the cost of VNF deployment. Moreover, the problem of VNF placement
for SFCs is … [36] studied the SFC deployment problem, and proposed a DRL approach to …

… Deep Reinforcement Learning can perform such tasks dynamically, without any prior …
Reinforcement Learning algorithm, to fully automate the Virtual Network Functions deployment …

… adaptive, online, deep reinforcement learning approach along with a serialization-and-backtracking
method and a policy gradient based method to handle SFCs deployment in the real-…

… The creation of network slices involves the instantiation and deployment of a chain (or network)
… es of a VNF, or where to place a particular VNF). This leads to the agent obtaining some …

… In the VNF-FGE, an instance of the problem is defined as a … of the infrastructure in the
deployment moment. In addition to … the VNF-FGE problem by means of a Reinforcement Learning …

… backup location set for VNF. The determining … deployment and backup locations are different
of each VNF. Lastly, we apply deep reinforcement learning algorithm on the process of VNF …