… RL-QRP, a reinforcement learning based routing protocol with QoS support for biomedical
… compute QoS routes using a distributed Q-learning algorithm which can find optimal routing …

… selects the best path using reinforcement learning to meet QoS requirements of the new flow,
… The latter finds, using reinforcement learning, the forwarding direction among domains and …

… solution as an EQS route. To tackle this problem, we design a new deep reinforcement
learning model which supports the DRQR protocol to establish EQS routes in real time by offline …

… a traditional routing mechanism to deliver a secure routing policy based on the real-time
network environment. Reinforcement learning is a method to maximize the rewards of learning …

… reinforcement learning (DRL) in the context of routing. By adopting convolutional neural
networks, the proposed mechanism is able to learn … provide a better routing configurations. The …

… into a reinforcement learning. In the following, based on the reinforcement learning technique,
… design ingredients that are used by our adaptive, time-efficient, and QoS-aware routing. …

… Quality-of-Service (QoS) even in the presence of cyber attacks. To address this issue, in this
paper, we exploit reinforcement learning (… from the perspective of routing management. The …

… which is an online QoS-routing framework based on deep reinforcement learning (DRL) and
… carries out on-policy learning. Under this framework, we further propose SA3CR, which is a …

… WSN QoS routing protocols … QoS routing protocol in WSNs using reinforcement learning.
We compare the network performance of our proposed protocol with three other protocols (QoS-…

… QoS-guaranteed intelligent routing algorithm in this paper for WMN with heavy traffic load
using reinforcement learning … for the Q-Learning algorithm to choose a route so that the packet …