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

… routing schemes for improving the routing security and reliability. Then, we introduce the
relevant research approaches of routing … of the reinforcement learning in routing networks. …

… of reinforcement learning will induce high risk of information disclosure. In this letter, we
consider secure routing for … eavesdroppers, where SCP is utilized to evaluate the route secrecy. …

… We propose RL-Shield, a reinforcement learning based defense system against LFAs. It …
to re-routing events. The detection algorithm controls two reinforcement learning based routing …

… secure routing are proposed. The proposed work reduces the overhead in communication
by predicting the stable, reliable and secure … is invoked using a reinforcement learning (RL) …

… routing in mobile ad-hoc networks by identifying malicious nodes. The proposed system uses
Reinforcement Learning (… But with the introduction of reinforcement learning concepts this …

… protocol presented in this work attempts to provide throughput competitive route selection …
and Distributed Reinforcement Learning in order to develop provably secure routing against …

… , routing is crucial. Recently, to achieve more efficient routing, reinforcement learning (RL)-based
routing … RL represents a class of artificial intelligence that implements a learning …

… learning This section details the routing randomization algorithm method based on deep
reinforcement learning, which primarily presents how to generate RRSs. The algorithm is …

… the routing area into optimal subdomains, based on which the deep reinforcement learning
… privacy preservation of the routing data, the federated reinforcement learning is applied to …