Marcos Quiñones-Grueiro

Orcid: 0000-0001-5391-6774

According to our database1, Marcos Quiñones-Grueiro authored at least 38 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
Phase Re-service in Reinforcement Learning Traffic Signal Control.
CoRR, 2024

Field Deployment of Multi-Agent Reinforcement Learning Based Variable Speed Limit Controllers.
CoRR, 2024

FT-AED: Benchmark Dataset for Early Freeway Traffic Anomalous Event Detection.
CoRR, 2024

An On-Board Off-Board Framework for Online Replanning: Applied to UAVs in Urban Environments.
Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

Hybrid Control Framework of UAVs Under Varying Wind and Payload Conditions.
Proceedings of the American Control Conference, 2024

2023
MARVEL: Multi-Agent Reinforcement-Learning for Large-Scale Variable Speed Limits.
CoRR, 2023

A Reinforcement Learning Approach for Robust Supervisory Control of UAVs Under Disturbances.
CoRR, 2023

Cooperative Multi-Agent Reinforcement Learning for Large Scale Variable Speed Limit Control.
Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023

On Learning Data-Driven Models For In-Flight Drone Battery Discharge Estimation From Real Data.
Proceedings of the 2023 IEEE International Conference on Smart Computing, 2023

Evaluation of Traffic Signal Control at Varying Demand Levels: A Comparative Study.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

Anomaly Detection for Multi-Zone Buildings Using Cluster-Trained LSTM Autoencoders.
Proceedings of the 9th International Conference on Control, 2023

Model-Based Adaptation for Sample Efficient Transfer in Reinforcement Learning Control of Parameter-Varying Systems.
Proceedings of the 9th International Conference on Control, 2023

2022
Pressure Sensor Placement for Leak Location in Zones of a Water Distribution Network.
Proceedings of the Computational Intelligence Methodologies Applied to Sustainable Development Goals, 2022

Computational adaptive multivariable degradation model for improving the remaining useful life prediction in industrial systems.
Comput. Appl. Math., 2022

Quantifying the impact of driver compliance on the effectiveness of variable speed limits and lane control systems.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Concurrent Policy Blending and System Identification for Generalized Assistive Control.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Generating Minimal Controller Sets for Mixing MMAC.
Proceedings of the 61st IEEE Conference on Decision and Control, 2022

Reinforcement learning-based HVAC supervisory control of a multi-zone building- A real case study.
Proceedings of the IEEE Conference on Control Technology and Applications, 2022

Data-Driven Learning Control for Building Energy Management.
Proceedings of the American Control Conference, 2022

2021
Robust leak localization in water distribution networks using computational intelligence.
Neurocomputing, 2021

Leak Zone Localization in Water Distribution Networks using a Topology-based Differential Evolution Algorithm.
Proceedings of the 5th International Conference on Control and Fault-Tolerant Systems, 2021

Fault Tolerant Control combining Reinforcement Learning and Model-based Control <sup>*</sup>.
Proceedings of the 5th International Conference on Control and Fault-Tolerant Systems, 2021

Transfer reinforcement learning for fault-tolerant control by re-using optimal policies.
Proceedings of the 5th International Conference on Control and Fault-Tolerant Systems, 2021

Sensitivity and robustness of end-to-end data-driven approach for building performance optimization.
Proceedings of the BuildSys '21: The 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation, Coimbra, Portugal, November 17, 2021

A Proposal of Metric for Improving Remaining Useful Life Prediction in Industrial Systems.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2021

A Novel Approach for Detection and Location of Cyber-Attacks in Water Distribution Networks.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2021

A Novel Hybrid Approach for Fault-Tolerant Control of UAVs based on Robust Reinforcement Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Clustering-Based Partitioning of Water Distribution Networks for Leak Zone Location.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2021

Monitoring Multimode Continuous Processes - A Data-Driven Approach
309, Springer, ISBN: 978-3-030-54737-0, 2021

2020
Performance-Weighed Policy Sampling for Meta-Reinforcement Learning.
CoRR, 2020

Complementary Meta-Reinforcement Learning for Fault-Adaptive Control.
CoRR, 2020

Fault-Tolerant Control of Degrading Systems with On-Policy Reinforcement Learning.
CoRR, 2020

A Relearning Approach to Reinforcement Learning for Control of Smart Buildings.
CoRR, 2020

2019
Multi-objective sensor placement for leakage detection and localization in water distribution networks.
Proceedings of the 4th Conference on Control and Fault Tolerant Systems, 2019

A Proposal of Robust Leak Localization in Water Distribution Networks Using Differential Evolution.
Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019

Novel Leak Location Approach in Water Distribution Networks with Zone Clustering and Classification.
Proceedings of the Pattern Recognition - 11th Mexican Conference, 2019

2018
An Unsupervised Approach to Leak Detection and Location in Water Distribution Networks.
Int. J. Appl. Math. Comput. Sci., 2018

A New Approach for Fault Diagnosis of Industrial Processes During Transitions.
Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2018


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