Andrei Marinescu

19 papers A 1B 1Journal 7Unranked 9
YearRankTypeTitle / Venue / Authors
2022 J jnl
Energy-Aware Deep Reinforcement Learning Scheduling for Sensors Correlated in Time and Space.
IEEE Internet Things J.
Jernej Hribar, Andrei Marinescu, Alessandro Chiumento, Luiz A. DaSilva
2020 J jnl
Energy Aware Deep Reinforcement Learning Scheduling for Sensors Correlated in Time and Space.
CoRR
Jernej Hribar, Andrei Marinescu, Alessandro Chiumento, Luiz A. DaSilva
2019 J jnl
Learning-Based Remote Channel Inference: Feasibility Analysis and Case Study.
IEEE Trans. Wirel. Commun.
Sheng Chen, Zhiyuan Jiang, Sheng Zhou, Zhisheng Niu, Ziyan He, Andrei Marinescu, Luiz A. DaSilva
2019 — conf
Scalable Multi-Agent Learning for Situationally-Aware Multiple-Access and Grant-Free Transmissions.
SPAWC
Zhiyuan Jiang, Andrei Marinescu, Luiz A. DaSilva, Sheng Zhou, Zhisheng Niu
2019 — conf
Using Deep Q-Learning to Prolong the Lifetime of Correlated Internet of Things Devices.
ICC Workshops
Jernej Hribar, Andrei Marinescu, George A. Ropokis, Luiz A. DaSilva
2019 J jnl
Using Deep Q-learning To Prolong the Lifetime of Correlated Internet of Things Devices.
CoRR
Jernej Hribar, Andrei Marinescu, George A. Ropokis, Luiz A. DaSilva
2018 — conf
A Multi-Agent Neural Network for Dynamic Frequency Reuse in LTE Networks.
ICC Workshops
Andrei Marinescu, Irene Macaluso, Luiz A. DaSilva
2018 J jnl
A Multi-Agent Neural Network for Dynamic Frequency Reuse in LTE Networks.
CoRR
Andrei Marinescu, Irene Macaluso, Luiz A. DaSilva
2017 J jnl
Prediction-Based Multi-Agent Reinforcement Learning in Inherently Non-Stationary Environments.
ACM Trans. Auton. Adapt. Syst.
Andrei Marinescu, Ivana Dusparic, Siobhán Clarke
2017 — conf
System Level Evaluation and Validation of the ns-3 LTE Module in 3GPP Reference Scenarios.
Q2SWinet@MSWiM
Andrei Marinescu, Irene Macaluso, Luiz A. DaSilva
2016 — —
Prediction-Based Multi-Agent Reinforcement Learning for Inherently Non-Stationary Environments
Andrei Marinescu
2015 — conf
Evaluation of Forecasting Methods for Very Small-Scale Networks.
DARE
Jean Cavallo, Andrei Marinescu, Ivana Dusparic, Siobhán Clarke
2015 — conf
Maximizing renewable energy use with decentralized residential demand response.
ISC2
Ivana Dusparic, Adam Taylor, Andrei Marinescu, Vinny Cahill, Siobhán Clarke
2015 A conf
P-MARL: Prediction-Based Multi-Agent Reinforcement Learning for Non-Stationary Environments.
AAMAS
Andrei Marinescu, Ivana Dusparic, Adam Taylor, Vinny Cahill, Siobhán Clarke
2014 B conf
A dynamic forecasting method for small scale residential electrical demand.
IJCNN
Andrei Marinescu, Ivana Dusparic, Colin Harris, Vinny Cahill, Siobhán Clarke
2014 — conf
A hybrid approach to very small scale electrical demand forecasting.
ISGT
Andrei Marinescu, Colin Harris, Ivana Dusparic, Vinny Cahill, Siobhán Clarke
2014 J jnl
Decentralised Multi-Agent Reinforcement Learning for Dynamic and Uncertain Environments.
CoRR
Andrei Marinescu, Ivana Dusparic, Adam Taylor, Vinny Cahill, Siobhán Clarke
2014 — conf
Set point control for charging of electric vehicles on the distribution network.
ISGT
Colin Harris, Ivana Dusparic, Edgar Galván López, Andrei Marinescu, Vinny Cahill, Siobhán Clarke
2013 — conf
Residential electrical demand forecasting in very small scale: An evaluation of forecasting methods.
SE4SG@ICSE
Andrei Marinescu, Colin Harris, Ivana Dusparic, Siobhán Clarke, Vinny Cahill