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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...
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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...
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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...
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07/29/2022
Deep Reinforcement Learning for System-on-Chip: Myths and Realities
Neural schedulers based on deep reinforcement learning (DRL) have shown ...
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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...
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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...
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04/27/2021
A Scalable and Reproducible System-on-Chip Simulation for Reinforcement Learning
Deep Reinforcement Learning (DRL) underlies in a simulated environment a...
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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...
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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...
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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...
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06/09/2019