This work is under review of IEEE Transactions on Parallel and Distributed Systems. </h3
Reachability routing is a newly emerging paradigm in networking, where the goal is to determine all ...
In this paper, a deep reinforcement learning routing(DRL-Routing) algorithm was proposed to solve th...
With the advent of Network Function Virtualization (NFV) techniques, a subset of the Internet traffi...
Modern services consist of interconnected compo- nents, e.g., microservices in a service mesh or mac...
The digital transformation is pushing the existing network technologies towards new horizons, enabli...
With the development of Internet of Things (IoT) and 5G technologies, more and more applications, su...
Packet routing problem most commonly emerges in the context of computer networks, thus the majority ...
Modern services comprise interconnected compo- nents, e.g., microservices in a service mesh, that ca...
International audienceKnowledge-Defined networking (KDN) is a concept that relies on Software-Define...
Funding Information: Acknowledgements. The work was financially supported by the Russian Science Fou...
This paper addresses the use of Deep Reinforcement Learning for automatic routing in Optical Transpo...
International audienceReinforcement learning (RL), which is a class of machine learning, provides a ...
Deep Reinforcement Learning (DRL) is rising as a promising tool for solving optimization problems in...
Internet of Things (IoT) devices are increasingly popular due to their wide array of application dom...
Cognitive networks are envisaged to provide optimized resource usage in future. While heterogeneity ...
Reachability routing is a newly emerging paradigm in networking, where the goal is to determine all ...
In this paper, a deep reinforcement learning routing(DRL-Routing) algorithm was proposed to solve th...
With the advent of Network Function Virtualization (NFV) techniques, a subset of the Internet traffi...
Modern services consist of interconnected compo- nents, e.g., microservices in a service mesh or mac...
The digital transformation is pushing the existing network technologies towards new horizons, enabli...
With the development of Internet of Things (IoT) and 5G technologies, more and more applications, su...
Packet routing problem most commonly emerges in the context of computer networks, thus the majority ...
Modern services comprise interconnected compo- nents, e.g., microservices in a service mesh, that ca...
International audienceKnowledge-Defined networking (KDN) is a concept that relies on Software-Define...
Funding Information: Acknowledgements. The work was financially supported by the Russian Science Fou...
This paper addresses the use of Deep Reinforcement Learning for automatic routing in Optical Transpo...
International audienceReinforcement learning (RL), which is a class of machine learning, provides a ...
Deep Reinforcement Learning (DRL) is rising as a promising tool for solving optimization problems in...
Internet of Things (IoT) devices are increasingly popular due to their wide array of application dom...
Cognitive networks are envisaged to provide optimized resource usage in future. While heterogeneity ...
Reachability routing is a newly emerging paradigm in networking, where the goal is to determine all ...
In this paper, a deep reinforcement learning routing(DRL-Routing) algorithm was proposed to solve th...
With the advent of Network Function Virtualization (NFV) techniques, a subset of the Internet traffi...
DOI
Add to ORKG