Z Mammeri - Ieee Access, 2019 - ieeexplore.ieee.org
… learning is similar to supervised one, but not all observations have labels (outputs). Finally, reinforcementlearning … only focuses on reinforcementlearning (RL) application to routing in …
RE Ali, B Erman, E Baştuğ, B Cilli - ICC 2020-2020 IEEE …, 2020 - ieeexplore.ieee.org
… hierarchicalrouting scheme leveraging the recent advances in deep reinforcementlearning … formulation of the hierarchicalrouting problem and our DRL-enabled routing algorithm. We …
H Liao, W Zhang, X Dong… - Journal of …, 2020 - asmedigitalcollection.asme.org
… presents a deep reinforcementlearning method for solving the global routing problem in a … is deep reinforcementlearning that enables an agent to produce a policy for routing based on …
Y Wang, S Sun, W Li - Canadian AI, 2021 - assets.pubpub.org
… Recently, deep learning models under the reinforcementlearning (RL) framework have been … the hierarchical RL to find an optimal policy for generating optimal routes in VRPTW. The …
… distributed hierarchical control plane, we propose an QoS-aware adaptive routing (QAR) with the aid of reinforcementlearning technique. In the following, we first introduce the learning …
Z Zong, H Wang, J Wang, M Zheng, Y Li - Proceedings of the 28th ACM …, 2022 - dl.acm.org
… • We formally address the large-scale vehicle routing problem and present an end-to-end framework, Rewriting-byGenerating (RBG) to solve it. • We propose a hierarchical framework …
Y Ma, X Hao, J Hao, J Lu, X Liu… - Advances in neural …, 2021 - proceedings.neurips.cc
… In this paper, we propose a novel hierarchical optimization … scales to optimize vehicles routes towards globally better … -based methods with reinforcementlearning-based policies. To …
… This paper presents a hierarchical Q-learning-based routing algorithm with grouped RSU (… Wang, “Hierarchicalrouting for vehicular ad hoc networks via reinforcementlearning,” IEEE …
YR Chen, A Rezapour, WG Tzeng… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
… Hence, they are unable to find optimal routing paths … a reinforcementlearningrouting algorithm (RL-Routing) to solve a TE problem of SDN in terms of throughput and delay. RL-Routing …