… The major objective of this work is to develop a novel position-based hierarchical routing
protocol for vehicular as hoc networks. it should be capable to deliver messages from a mobile …

… distributed hierarchical control plane, we propose an QoS-aware adaptive routing (QAR)
with the aid of reinforcement learning technique. In the following, we first introduce the learning …

… learning is similar to supervised one, but not all observations have labels (outputs). Finally,
reinforcement learning … only focuses on reinforcement learning (RL) application to routing in …

… presents a deep reinforcement learning method for solving the global routing problem in a …
is deep reinforcement learning that enables an agent to produce a policy for routing based on …

… hierarchical routing scheme leveraging the recent advances in deep reinforcement learning
… formulation of the hierarchical routing problem and our DRL-enabled routing algorithm. We …

… • 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 …

… In this paper, we propose a novel hierarchical optimization … scales to optimize vehicles
routes towards globally better … -based methods with reinforcement learning-based policies. To …

… Recently, deep learning models under the reinforcement learning (RL) framework have been
… the hierarchical RL to find an optimal policy for generating optimal routes in VRPTW. The …

… intelligent multicast routing algorithm based on deep hierarchical reinforcement learning is
… internal and external controllers of hierarchical reinforcement learning based on the global …

… This paper presents a hierarchical Q-learning-based routing algorithm with grouped RSU
(… Wang, “Hierarchical routing for vehicular ad hoc networks via reinforcement learning,” IEEE …