Andrei Marinescu

According to our database, Andrei Marinescu authored at least 15 papers between 2013 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Energy-Aware Deep Reinforcement Learning Scheduling for Sensors Correlated in Time and Space.

Jernej Hribar, Andrei Marinescu, Alessandro Chiumento, Luiz A. DaSilva

IEEE Internet Things J., 2022

2019

Learning-Based Remote Channel Inference: Feasibility Analysis and Case Study.

Sheng Chen, Zhiyuan Jiang, Sheng Zhou, Zhisheng Niu, Ziyan He, Andrei Marinescu, Luiz A. DaSilva

IEEE Trans. Wirel. Commun., 2019

Scalable Multi-Agent Learning for Situationally-Aware Multiple-Access and Grant-Free Transmissions.

Zhiyuan Jiang, Andrei Marinescu, Luiz A. DaSilva, Sheng Zhou, Zhisheng Niu

Proceedings of the 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, 2019

Using Deep Q-Learning to Prolong the Lifetime of Correlated Internet of Things Devices.

Jernej Hribar, Andrei Marinescu, George A. Ropokis, Luiz A. DaSilva

Proceedings of the 17th IEEE International Conference on Communications Workshops, 2019

2018

A Multi-Agent Neural Network for Dynamic Frequency Reuse in LTE Networks.

Andrei Marinescu, Irene Macaluso, Luiz A. DaSilva

Proceedings of the 2018 IEEE International Conference on Communications Workshops, 2018

2017

Prediction-Based Multi-Agent Reinforcement Learning in Inherently Non-Stationary Environments.

Andrei Marinescu, Ivana Dusparic, Siobhán Clarke

ACM Trans. Auton. Adapt. Syst., 2017

System Level Evaluation and Validation of the ns-3 LTE Module in 3GPP Reference Scenarios.

Andrei Marinescu, Irene Macaluso, Luiz A. DaSilva

Proceedings of the 13th ACM Symposium on QoS and Security for Wireless and Mobile Networks, 2017

2015

Evaluation of Forecasting Methods for Very Small-Scale Networks.

Jean Cavallo, Andrei Marinescu, Ivana Dusparic, Siobhán Clarke

Proceedings of the Data Analytics for Renewable Energy Integration, 2015

Maximizing renewable energy use with decentralized residential demand response.

Ivana Dusparic, Adam Taylor, Andrei Marinescu, Vinny Cahill, Siobhán Clarke

Proceedings of the IEEE First International Smart Cities Conference, 2015

P-MARL: Prediction-Based Multi-Agent Reinforcement Learning for Non-Stationary Environments.

Andrei Marinescu, Ivana Dusparic, Adam Taylor, Vinny Cahill, Siobhán Clarke

Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014

Decentralised Multi-Agent Reinforcement Learning for Dynamic and Uncertain Environments.

Andrei Marinescu, Ivana Dusparic, Adam Taylor, Vinny Cahill, Siobhán Clarke

CoRR, 2014

A hybrid approach to very small scale electrical demand forecasting.

Andrei Marinescu, Colin Harris, Ivana Dusparic, Vinny Cahill, Siobhán Clarke

Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2014

Set point control for charging of electric vehicles on the distribution network.

Colin Harris, Ivana Dusparic, Edgar Galván López, Andrei Marinescu, Vinny Cahill, Siobhán Clarke

Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference, 2014

A dynamic forecasting method for small scale residential electrical demand.

Andrei Marinescu, Ivana Dusparic, Colin Harris, Vinny Cahill, Siobhán Clarke

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Residential electrical demand forecasting in very small scale: An evaluation of forecasting methods.

Andrei Marinescu, Colin Harris, Ivana Dusparic, Siobhán Clarke, Vinny Cahill

Proceedings of the 2nd International Workshop on Software Engineering Challenges for the Smart Grid, 2013