18 citations · 33 across the 3 of their papers we have counts for
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cs.AI2021
A Scalable and Reproducible System-on-Chip Simulation for Reinforcement Learning
Tegg Taekyong Sung, Bo Ryu
Deep Reinforcement Learning (DRL) underlies in a simulated environment and optimizes objective goals. By extending the conventional interaction scheme, this paper proffers gym-ds3,…
cs.OS2021
SoCRATES: System-on-Chip Resource Adaptive Scheduling using Deep Reinforcement Learning
Tegg Taekyong Sung, Bo Ryu
Deep Reinforcement Learning (DRL) is being increasingly applied to the problem of resource allocation for emerging System-on-Chip (SoC) applications, and has shown remarkable promi…
cs.NI2021★ 18 cited
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…