Damien Ernst
Orcid: 0000-0002-3035-8260Affiliations:
- University of Liège, Belgium
According to our database1,
Damien Ernst
authored at least 141 papers
between 2000 and 2025.
Collaborative distances:
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Bibliography
2025
CoRR, January, 2025
Investigating the Monte-Carlo Tree Search Approach for the Job Shop Scheduling Problem.
CoRR, January, 2025
CoRR, January, 2025
IEEE Access, 2025
2024
Exploiting the Flexibility Potential of Water Distribution Networks: A Pilot Project in Belgium.
IEEE Trans. Smart Grid, January, 2024
Optim. Methods Softw., 2024
Neuromorph. Comput. Eng., 2024
CoRR, 2024
A Systematic Procedure for Topological Path Identification with Raw Data Transformation in Electrical Distribution Networks.
CoRR, 2024
Fair Reinforcement Learning Algorithm for PV Active Control in LV Distribution Networks.
CoRR, 2024
An Optimization Algorithm for Customer Topological Paths Identification in Electrical Distribution Networks.
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
Optimal Control of Renewable Energy Communities subject to Network Peak Fees with Model Predictive Control and Reinforcement Learning Algorithms.
CoRR, 2024
Comprehensive Review on Static and Dynamic Distribution Network Reconfiguration Methodologies.
IEEE Access, 2024
Informed POMDP: Leveraging Additional Information in Model-Based RL.
RLJ, 2024
2023
Warming up recurrent neural networks to maximise reachable multistability greatly improves learning.
Neural Networks, September, 2023
Algorithms, July, 2023
Trans. Mach. Learn. Res., 2023
Neurocomputing, 2023
CoRR, 2023
IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Impacts of spatial and temporal resolutions on the near-optimal spaces of energy system optimisation models.
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2023
2022
Trans. Mach. Learn. Res., 2022
Parallax Inference for Robust Temporal Monocular Depth Estimation in Unstructured Environments.
Sensors, 2022
Optim. Lett., 2022
Jointly Learning Environments and Control Policies with Projected Stochastic Gradient Ascent.
J. Artif. Intell. Res., 2022
Value-based CTDE Methods in Symmetric Two-team Markov Game: from Cooperation to Team Competition.
CoRR, 2022
Optimal Connection Phase Selection of Residential Distributed Energy Resources and its Impact on Aggregated Demand.
CoRR, 2022
Financial Optimization of Renewable Energy Communities Through Optimal Allocation of Locally Generated Electricity.
IEEE Access, 2022
2021
Gym-ANM: Open-source software to leverage reinforcement learning for power system management in research and education.
Softw. Impacts, 2021
Mach. Learn., 2021
Expert Syst. Appl., 2021
Computing Necessary Conditions for Near-Optimality in Capacity Expansion Planning Problems.
CoRR, 2021
Warming-up recurrent neural networks to maximize reachable multi-stability greatly improves learning.
CoRR, 2021
CoRR, 2021
Model Reduction in Capacity Expansion Planning Problems via Renewable Generation Site Selection.
CoRR, 2021
Gym-ANM: Reinforcement Learning Environments for Active Network Management Tasks in Electricity Distribution Systems.
CoRR, 2021
Proceedings of the IEEE PES Innovative Smart Grid Technologies Europe, 2021
Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021
2020
QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement Learning.
CoRR, 2020
Assessing the Economic Value of Renewable Resource Complementarity for Power Systems: an ENTSO-E Study.
CoRR, 2020
CoRR, 2020
CoRR, 2020
On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract).
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
2019
On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability.
J. Artif. Intell. Res., 2019
Blockchain: A Novel Approach for the Consensus Algorithm Using Condorcet Voting Procedure.
Proceedings of the IEEE International Conference on Decentralized Applications and Infrastructures, 2019
2018
IEEE Trans. Autom. Control., 2018
CoRR, 2018
Complementarity Assessment of South Greenland Katabatic Flows and West Europe Wind Regimes.
CoRR, 2018
Autom., 2018
Effect of voltage constraints on the exchange of flexibility services in distribution networks.
Proceedings of the 2018 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, 2018
2017
A biased random key genetic algorithm applied to the electric distribution network reconfiguration problem.
J. Heuristics, 2017
On overfitting and asymptotic bias in batch reinforcement learning with partial observability.
CoRR, 2017
CoRR, 2017
An App-based Algorithmic Approach for Harvesting Local and Renewable Energy using Electric Vehicles.
Proceedings of the 9th International Conference on Agents and Artificial Intelligence, 2017
Proceedings of the 9th International Conference on Agents and Artificial Intelligence, 2017
2016
Active Management of Low-Voltage Networks for Mitigating Overvoltages Due to Photovoltaic Units.
IEEE Trans. Smart Grid, 2016
Direct control service from residential heat pump aggregation with specified payback.
Proceedings of the Power Systems Computation Conference, 2016
Proceedings of the Power Systems Computation Conference, 2016
Proceedings of the IEEE PES Innovative Smart Grid Technologies Conference Europe, 2016
Decision Making from Confidence Measurement on the Reward Growth using Supervised Learning - A Study Intended for Large-scale Video Games.
Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART 2016), 2016
2015
Reinforcement Learning of Heuristic EV Fleet Charging in a Day-Ahead Electricity Market.
IEEE Trans. Smart Grid, 2015
Int. J. Comput. Games Technol., 2015
Eng. Comput., 2015
CoRR, 2015
Proceedings of the Data Analytics for Renewable Energy Integration, 2015
2014
Active network management for electrical distribution systems: problem formulation and benchmark.
CoRR, 2014
Proceedings of the 2014 Power Systems Computation Conference, 2014
Relaxations for multi-period optimal power flow problems with discrete decision variables.
Proceedings of the 2014 Power Systems Computation Conference, 2014
Proceedings of the Neural Connectomics Workshop at ECML 2014, 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Using approximate dynamic programming for estimating the revenues of a hydrogen-based high-capacity storage device.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014
2013
IEEE Trans. Comput. Intell. AI Games, 2013
Min Max Generalization for Deterministic Batch Mode Reinforcement Learning: Relaxation Schemes.
SIAM J. Control. Optim., 2013
Rev. d'Intelligence Artif., 2013
Optimal discovery with probabilistic expert advice: finite time analysis and macroscopic optimality.
J. Mach. Learn. Res., 2013
Scenario Trees and Policy Selection for Multistage Stochastic Programming Using Machine Learning.
INFORMS J. Comput., 2013
Ann. Oper. Res., 2013
An efficient algorithm for the provision of a day-ahead modulation service by a load aggregator.
Proceedings of the 4th IEEE PES Innovative Smart Grid Technologies Europe, 2013
On periodic reference tracking using batch-mode reinforcement learning with application to gene regulatory network control.
Proceedings of the 52nd IEEE Conference on Decision and Control, 2013
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013
2012
Optimized Look-Ahead Tree Policies: A Bridge Between Look-Ahead Tree Policies and Direct Policy Search
CoRR, 2012
CoRR, 2012
Autom., 2012
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Proceedings of the Agents and Artificial Intelligence - 4th International Conference, 2012
Learning to Play K-armed Bandit Problems.
Proceedings of the ICAART 2012 - Proceedings of the 4th International Conference on Agents and Artificial Intelligence, Volume 1, 2012
Learning Exploration/Exploitation Strategies for Single Trajectory Reinforcement Learning.
Proceedings of the Tenth European Workshop on Reinforcement Learning, 2012
Policy Search in a Space of Simple Closed-form Formulas: Towards Interpretability of Reinforcement Learning.
Proceedings of the Discovery Science - 15th International Conference, 2012
Comparison of different selection strategies in Monte-Carlo Tree Search for the game of Tron.
Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games, 2012
Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games, 2012
Proceedings of the 51th IEEE Conference on Decision and Control, 2012
SPRT for SPIT: Using the Sequential Probability Ratio Test for Spam in VoIP Prevention.
Proceedings of the Dependable Networks and Services, 2012
2011
IEEE Trans. Syst. Man Cybern. Part B, 2011
Rev. d'Intelligence Artif., 2011
Model predictive control of HVDC power flow to improve transient stability in power systems.
Proceedings of the IEEE Second International Conference on Smart Grid Communications, 2011
Optimal Sample Selection for Batch-mode Reinforcement Learning.
Proceedings of the ICAART 2011 - Proceedings of the 3rd International Conference on Agents and Artificial Intelligence, Volume 1, 2011
Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011
Proceedings of the Recent Advances in Reinforcement Learning - 9th European Workshop, 2011
Active exploration by searching for experiments that falsify the computed control policy.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011
2010
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
Proceedings of IEEE International Conference on Communications, 2010
Proceedings of the Agents and Artificial Intelligence - Second International Conference, 2010
A Cautious Approach to Generalization in Reinforcement Learning.
Proceedings of the ICAART 2010 - Proceedings of the International Conference on Agents and Artificial Intelligence, Volume 1, 2010
Proceedings of the American Control Conference, 2010
2009
Reinforcement Learning Versus Model Predictive Control: A Comparison on a Power System Problem.
IEEE Trans. Syst. Man Cybern. Part B, 2009
Proceedings of the Stochastic Algorithms: Foundations and Applications, 2009
Proceedings of the 42st Hawaii International International Conference on Systems Science (HICSS-42 2009), 2009
Inferring bounds on the performance of a control policy from a sample of trajectories.
Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009
Planning under uncertainty, ensembles of disturbance trees and kernelized discrete action spaces.
Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009
Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009
2008
Proceedings of the FUZZ-IEEE 2008, 2008
Lazy Planning under Uncertainty by Optimizing Decisions on an Ensemble of Incomplete Disturbance Trees.
Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008
2007
Estimation of rotor angles of synchronous machines using artificial neural networks and local PMU-based quantities.
Neurocomputing, 2007
Proceedings of the FUZZ-IEEE 2007, 2007
Proceedings of the Adaptive Agents and Multi-Agent Systems III. Adaptation and Multi-Agent Learning, 2007
2006
Proceedings of the Advances in Machine Vision, 2006
Clinical data based optimal STI strategies for HIV: a reinforcement learning approach.
Proceedings of the 45th IEEE Conference on Decision and Control, 2006
2005
2003
PhD thesis, 2003
Proceedings of the Machine Learning: ECML 2003, 2003
2001
Autom., 2001
Proceedings of the 40th IEEE Conference on Decision and Control, 2001
2000
Application of Reinforcement Learning to Electrical Power System Closed-Loop Emergency Control.
Proceedings of the Principles of Data Mining and Knowledge Discovery, 2000