Bo Ryu | DeepAI

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Featured Co-authors

Tegg Taekyong Sung
7 publications
Ejaz Ahmed
7 publications
Alex Yahja
6 publications
Anh Le
5 publications
Chae-Bong Sohn
4 publications
Saeed Kaviani
4 publications
Paul Russell
3 publications
Valliappa Chockalingam
3 publications
Jae H. Kim
3 publications
Jeongsoo Ha
2 publications
Jeewoo Kim
2 publications

∙ 06/16/2023

DeepMPR: Enhancing Opportunistic Routing in Wireless Networks through Multi-Agent Deep Reinforcement Learning

Opportunistic routing relies on the broadcast capability of wireless net...

0 Saeed Kaviani, et al. ∙

∙ 06/15/2023

Open Source-based Over-The-Air 5G New Radio Sidelink Testbed

The focus of this paper is the prototype development for 5G new radio (N...

0 Melissa Elkadi, et al. ∙

∙ 01/24/2023

DeepADMR: A Deep Learning based Anomaly Detection for MANET Routing

We developed DeepADMR, a novel neural anomaly detector for the deep rein...

0 Alex Yahja, et al. ∙

∙ 07/29/2022

Deep Reinforcement Learning for System-on-Chip: Myths and Realities

Neural schedulers based on deep reinforcement learning (DRL) have shown ...

12 Tegg Taekyong Sung, et al. ∙

∙ 11/29/2021

DeepCQ+: Robust and Scalable Routing with Multi-Agent Deep Reinforcement Learning for Highly Dynamic Networks

Highly dynamic mobile ad-hoc networks (MANETs) remain as one of the most...

0 Saeed Kaviani, et al. ∙

∙ 04/28/2021

SoCRATES: System-on-Chip Resource Adaptive Scheduling using Deep Reinforcement Learning

Deep Reinforcement Learning (DRL) is being increasingly applied to the p...

0 Tegg Taekyong Sung, et al. ∙

∙ 04/27/2021

A Scalable and Reproducible System-on-Chip Simulation for Reinforcement Learning

Deep Reinforcement Learning (DRL) underlies in a simulated environment a...

0 Tegg Taekyong Sung, et al. ∙

∙ 01/09/2021

Robust and Scalable Routing with Multi-Agent Deep Reinforcement Learning for MANETs

Highly dynamic mobile ad-hoc networks (MANETs) are continuing to serve a...

12 Saeed Kaviani, et al. ∙

∙ 05/15/2020

DeepSoCS: A Neural Scheduler for Heterogeneous System-on-Chip (SoC) Resource Scheduling

In this paper, we present a novel scheduling solution for a class of Sys...

0 Tegg Taekyong Sung, et al. ∙

∙ 05/15/2020

DeepSoCS: A Neural Scheduler for Heterogeneous System-on-Chip Resource Scheduling

In this paper, we present a novel scheduling solution for a class of Sys...

0 Tegg Taekyong Sung, et al. ∙

∙ 06/09/2019

Neural Heterogeneous Scheduler

Access to parallel and distributed computation has enabled researchers a...

0 Tegg Taekyong Sung, et al. ∙

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