… 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 …

… 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 …

… Therefore, we propose the QoSaware security routing protocol DQSP. It guides behaviors
through the cumulative rewards when interacting with the environment, and constantly adjusts …

… cooperative reinforcement learning based routing protocol with QoS support for WSNs.
Sensor node computes QoS routes using a distributed reinforcement learning algorithm, only …

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

… based QoS Routing Protocol) – It is a routing protocol with QoS support in WSNs [55].
Local information is exchanged between neighbors through beaconing. The distinctive …

… reinforcement learning-based quality-of-service routing (DQR) protocol to establish the best
route … the proposed deep reinforcement learning (DRL) model, the DQR protocol unicasts a …

… technique without requiring prior training examples. The reinforcement learning algorithm
proposed in this paper is a model-free reinforcement learning algorithm, which means that it …

… Additionally, we also exploit the machine learning and reinforcement learning (RL) … routing
algorithm. There are existing research works that apply machine learning to SDN routing …

… 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 …