58 citations · 94 across the 7 of their papers we have counts for
4 papers · 1 filter
DeepMPR: Enhancing Opportunistic Routing in Wireless Networks through Multi-Agent Deep Reinforcement Learning
Saeed Kaviani, Bo Ryu, Ejaz Ahmed +4
Opportunistic routing relies on the broadcast capability of wireless networks. It brings higher reliability and robustness in highly dynamic and/or severe environments such as mobi…
DeepADMR: A Deep Learning based Anomaly Detection for MANET Routing
Alex Yahja, Saeed Kaviani, Bo Ryu +2
We developed DeepADMR, a novel neural anomaly detector for the deep reinforcement learning (DRL)-based DeepCQ+ MANET routing policy. The performance of DRL-based algorithms such as…
DeepCQ+: Robust and Scalable Routing with Multi-Agent Deep Reinforcement Learning for Highly Dynamic Networks
Saeed Kaviani, Bo Ryu, Ejaz Ahmed +4
Highly dynamic mobile ad-hoc networks (MANETs) remain as one of the most challenging environments to develop and deploy robust, efficient, and scalable routing protocols. In this p…
Robust and Scalable Routing with Multi-Agent Deep Reinforcement Learning for MANETs
Saeed Kaviani, Bo Ryu, Ejaz Ahmed +4
Highly dynamic mobile ad-hoc networks (MANETs) are continuing to serve as one of the most challenging environments to develop and deploy robust, efficient, and scalable routing pro…