Damien Ernst

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 78

Top Venues

CoRR

PSCC

IEEE Trans. Smart Grid

J. Artif. Intell. Res.

Publications

Arthur Louette, Gaspard Lambrechts, Damien Ernst, Eric Pirard, Godefroid Dislaire
Reinforcement Learning to improve delta robot throws for sorting scrap metal. CoRR (2024)
Gaspard Lambrechts, Yann Claes, Pierre Geurts, Damien Ernst
Parallelizing Autoregressive Generation with Variational State Space Models. CoRR (2024)
Ioannis Boukas, Elodie Burtin, Antonio Sutera, Quentin Gemine, Bernard Pevee, Damien Ernst
Exploiting the Flexibility Potential of Water Distribution Networks: A Pilot Project in Belgium. IEEE Trans. Smart Grid 15 (1) (2024)
Bardhyl Miftari, Mathias Berger, Guillaume Derval, Quentin Louveaux, Damien Ernst
GBOML: a structure-exploiting optimization modelling language in Python. Optim. Methods Softw. 39 (1) (2024)
Adrien Bolland, Gaspard Lambrechts, Damien Ernst
Behind the Myth of Exploration in Policy Gradients. CoRR (2024)
Milad Rahimipour Behbahani, Alireza Jalilian, Alireza Bahmanyar, Damien Ernst
Comprehensive Review on Static and Dynamic Distribution Network Reconfiguration Methodologies. IEEE Access 12 (2024)
Samy Aittahar, Adrien Bolland, Guillaume Derval, Damien Ernst
Optimal Control of Renewable Energy Communities subject to Network Peak Fees with Model Predictive Control and Reinforcement Learning Algorithms. CoRR (2024)
Florent De Geeter, Damien Ernst, Guillaume Drion
Spike-based computation using classical recurrent neural networks. Neuromorph. Comput. Eng. 4 (2) (2024)
Adrien Bolland, Gilles Louppe, Damien Ernst
Policy Gradient Algorithms Implicitly Optimize by Continuation. Trans. Mach. Learn. Res. 2023 (2023)
Adrien Bolland, Gilles Louppe, Damien Ernst
Policy Gradient Algorithms Implicitly Optimize by Continuation. CoRR (2023)
Pascal Leroy, Pablo G. Morato, Jonathan Pisane, Athanasios Kolios, Damien Ernst
IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL. NeurIPS (2023)
Gaspard Lambrechts, Florent De Geeter, Nicolas Vecoven, Damien Ernst, Guillaume Drion
Warming up recurrent neural networks to maximise reachable multistability greatly improves learning. Neural Networks 166 (2023)
Antoine Dubois, Jonathan Dumas, Paolo Thiran, Gauthier Limpens, Damien Ernst
Multi-objective near-optimal necessary conditions for multi-sectoral planning. CoRR (2023)
Florent De Geeter, Damien Ernst, Guillaume Drion
Spike-based computation using classical recurrent neural networks. CoRR (2023)
Thibaut Théate, Antoine Wehenkel, Adrien Bolland, Gilles Louppe, Damien Ernst
Distributional reinforcement learning with unconstrained monotonic neural networks. Neurocomputing 534 (2023)
Antoine Dubois, Damien Ernst
Impacts of spatial and temporal resolutions on the near-optimal spaces of energy system optimisation models. ISGT EUROPE (2023)
Pascal Leroy, Pablo G. Morato, Jonathan Pisane, Athanasios Kolios, Damien Ernst
IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL. CoRR (2023)
Gaspard Lambrechts, Adrien Bolland, Damien Ernst
Informed POMDP: Leveraging Additional Information in Model-Based RL. CoRR (2023)
Thibaut Théate, Damien Ernst
Risk-Sensitive Policy with Distributional Reinforcement Learning. Algorithms 16 (7) (2023)
Michaël Fonder, Damien Ernst, Marc Van Droogenbroeck
Parallax Inference for Robust Temporal Monocular Depth Estimation in Unstructured Environments. Sensors 22 (23) (2022)
Miguel Manuel de Villena, Samy Aittahar, Sebastien Mathieu, Ioannis Boukas, Eric Vermeulen, Damien Ernst
Financial Optimization of Renewable Energy Communities Through Optimal Allocation of Locally Generated Electricity. IEEE Access 10 (2022)
Mathias Berger, David Radu, Antoine Dubois, Hrvoje Pandzic, Yury Dvorkin, Quentin Louveaux, Damien Ernst
Siting renewable power generation assets with combinatorial optimisation. Optim. Lett. 16 (3) (2022)
Adrien Bolland, Ioannis Boukas, Mathias Berger, Damien Ernst
Jointly Learning Environments and Control Policies with Projected Stochastic Gradient Ascent. J. Artif. Intell. Res. 73 (2022)
Florian Merchie, Damien Ernst
Churn prediction in online gambling. CoRR (2022)
Amina Benzerga, Alireza Bahmanyar, Damien Ernst
Optimal Connection Phase Selection of Residential Distributed Energy Resources and its Impact on Aggregated Demand. CoRR (2022)
Thibaut Théate, Damien Ernst
Risk-Sensitive Policy with Distributional Reinforcement Learning. CoRR (2022)
Gaspard Lambrechts, Adrien Bolland, Damien Ernst
Recurrent networks, hidden states and beliefs in partially observable environments. Trans. Mach. Learn. Res. 2022 (2022)
Pascal Leroy, Jonathan Pisane, Damien Ernst
Value-based CTDE Methods in Symmetric Two-team Markov Game: from Cooperation to Team Competition. CoRR (2022)
Bardhyl Miftari, Mathias Berger, Hatim Djelassi, Damien Ernst
GBOML: Graph-Based Optimization Modeling Language. J. Open Source Softw. 7 (72) (2022)
Gaspard Lambrechts, Adrien Bolland, Damien Ernst
Recurrent networks, hidden states and beliefs in partially observable environments. CoRR (2022)
Daniele Marulli, Sébastien Mathieu, Amina Benzerga, Antonio Sutera, Damien Ernst
Reconstruction of Low-Voltage Networks with Limited Observability. ISGT-Europe (2021)
Antoine Dubois, Damien Ernst
Computing Necessary Conditions for Near-Optimality in Capacity Expansion Planning Problems. CoRR (2021)
Robin Henry, Damien Ernst
Gym-ANM: Open-source software to leverage reinforcement learning for power system management in research and education. Softw. Impacts 9 (2021)
Ioannis Boukas, Damien Ernst, Thibaut Théate, Adrien Bolland, Alexandre Huynen, Martin Buchwald, Christelle Wynants, Bertrand Cornélusse
A deep reinforcement learning framework for continuous intraday market bidding. Mach. Learn. 110 (9) (2021)
David Radu, Antoine Dubois, Mathias Berger, Damien Ernst
Model Reduction in Capacity Expansion Planning Problems via Renewable Generation Site Selection. CoRR (2021)
Mathias Berger, David Radu, Ghislain Detienne, Thierry Deschuyteneer, Aurore Richel, Damien Ernst
Remote Renewable Hubs For Carbon-Neutral Synthetic Fuel Production. CoRR (2021)
Robin Henry, Damien Ernst
Gym-ANM: Reinforcement Learning Environments for Active Network Management Tasks in Electricity Distribution Systems. CoRR (2021)
Robin Henry, Damien Ernst
Gym-ANM: Open-source software to leverage reinforcement learning for power system management in research and education. CoRR (2021)
Decebal Constantin Mocanu, Elena Mocanu, Tiago Pinto, Selima Curci, Phuong H. Nguyen, Madeleine Gibescu, Damien Ernst, Zita A. Vale
Sparse Training Theory for Scalable and Efficient Agents. AAMAS (2021)
Decebal Constantin Mocanu, Elena Mocanu, Tiago Pinto, Selima Curci, Phuong H. Nguyen, Madeleine Gibescu, Damien Ernst, Zita A. Vale
Sparse Training Theory for Scalable and Efficient Agents. CoRR (2021)
Thibaut Théate, Antoine Wehenkel, Adrien Bolland, Gilles Louppe, Damien Ernst
Distributional Reinforcement Learning with Unconstrained Monotonic Neural Networks. CoRR (2021)
Michaël Fonder, Damien Ernst, Marc Van Droogenbroeck
M4Depth: A motion-based approach for monocular depth estimation on video sequences. CoRR (2021)
Nicolas Vecoven, Damien Ernst, Guillaume Drion
Warming-up recurrent neural networks to maximize reachable multi-stability greatly improves learning. CoRR (2021)
Thibaut Théate, Damien Ernst
An application of deep reinforcement learning to algorithmic trading. Expert Syst. Appl. 173 (2021)
Miguel Manuel de Villena, Sébastien Mathieu, Eric Vermeulen, Damien Ernst
Allocation of locally generated electricity in renewable energy communities. CoRR (2020)
David Radu, Mathias Berger, Antoine Dubois, Raphael Fonteneau, Hrvoje Pandzic, Yury Dvorkin, Quentin Louveaux, Damien Ernst
Assessing the Economic Value of Renewable Resource Complementarity for Power Systems: an ENTSO-E Study. CoRR (2020)
Thibaut Théate, Sébastien Mathieu, Damien Ernst
An Artificial Intelligence Solution for Electricity Procurement in Forward Markets. CoRR (2020)
Adrien Bolland, Ioannis Boukas, François Cornet, Mathias Berger, Damien Ernst
Learning optimal environments using projected stochastic gradient ascent. CoRR (2020)
Nicolas Vecoven, Damien Ernst, Guillaume Drion
A bio-inspired bistable recurrent cell allows for long-lasting memory. CoRR (2020)
Ioannis Boukas, Damien Ernst, Thibaut Théate, Adrien Bolland, Alexandre Huynen, Martin Buchwald, Christelle Wynants, Bertrand Cornélusse
A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding. CoRR (2020)
Vincent François-Lavet, Guillaume Rabusseau, Joelle Pineau, Damien Ernst, Raphael Fonteneau
On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract). IJCAI (2020)
Thibaut Théate, Damien Ernst
An Application of Deep Reinforcement Learning to Algorithmic Trading. CoRR (2020)
Pascal Leroy, Damien Ernst, Pierre Geurts, Gilles Louppe, Jonathan Pisane, Matthia Sabatelli
QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement Learning. CoRR (2020)
David Vangulick, Bertrand Cornélusse, Damien Ernst
Blockchain: A Novel Approach for the Consensus Algorithm Using Condorcet Voting Procedure. DAPPCON (2019)
Vincent François-Lavet, Guillaume Rabusseau, Joelle Pineau, Damien Ernst, Raphael Fonteneau
On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability. J. Artif. Intell. Res. 65 (2019)
Nicolas Vecoven, Damien Ernst, Guillaume Drion
Introducing Neuromodulation in Deep Neural Networks to Learn Adaptive Behaviours. CoRR (2018)
Aivar Sootla, Alexandre Mauroy, Damien Ernst
Optimal control formulation of pulse-based control using Koopman operator. Autom. 91 (2018)
David Radu, Mathias Berger, Raphaël Fonteneau, Simon Hardy, Xavier Fettweis, Marc Le Du, Patrick Panciatici, Lucian Balea, Damien Ernst
Complementarity Assessment of South Greenland Katabatic Flows and West Europe Wind Regimes. CoRR (2018)
Aivar Sootla, Damien Ernst
Pulse-Based Control Using Koopman Operator Under Parametric Uncertainty. IEEE Trans. Autom. Control. 63 (3) (2018)
Mathias Berger, Radu David, Raphael Fonteneau, Robin Henry, Mevludin Glavic, Xavier Fettweis, Marc Le Du, Patrick Panciatici, Lucian Balea, Damien Ernst
Critical Time Windows for Renewable Resource Complementarity Assessment. CoRR (2018)
Sebastien Mathieu, Frédéric Olivier, Damien Ernst, Bertrand Cornélusse
Effect of voltage constraints on the exchange of flexibility services in distribution networks. ISGT (2018)
Vincent François-Lavet, Damien Ernst, Raphael Fonteneau
On overfitting and asymptotic bias in batch reinforcement learning with partial observability. CoRR (2017)
Aivar Sootla, Alexandre Mauroy, Damien Ernst
An Optimal Control Formulation of Pulse-Based Control Using Koopman Operator. CoRR (2017)
Haroldo de Faria Jr., Mauricio G. C. Resende, Damien Ernst
A biased random key genetic algorithm applied to the electric distribution network reconfiguration problem. J. Heuristics 23 (6) (2017)
Antoine Dubois, Antoine Wehenkel, Raphael Fonteneau, Frédéric Olivier, Damien Ernst
An App-based Algorithmic Approach for Harvesting Local and Renewable Energy using Electric Vehicles. ICAART (1) (2017)
Aivar Sootla, Damien Ernst
Pulse-Based Control Using Koopman Operator Under Parametric Uncertainty. CoRR (2017)
Michael Castronovo, Vincent François-Lavet, Raphaël Fonteneau, Damien Ernst, Adrien Couëtoux
Approximate Bayes Optimal Policy Search using Neural Networks. ICAART (2) (2017)
D. Taralla, Z. Qiu, Antonio Sutera, Raphaël Fonteneau, Damien Ernst
Decision Making from Confidence Measurement on the Reward Growth using Supervised Learning - A Study Intended for Large-scale Video Games. ICAART (2) (2016)
E. Georges, Vincent Lemort, Bertrand Cornélusse, Damien Ernst, Quentin Louveaux, Sebastien Mathieu
Direct control service from residential heat pump aggregation with specified payback. PSCC (2016)
Quentin Gemine, Bertrand Cornélusse, Mevludin Glavic, Raphaël Fonteneau, Damien Ernst
A Gaussian mixture approach to model stochastic processes in power systems. PSCC (2016)
Frédéric Olivier, Petros Aristidou, Damien Ernst, Thierry Van Cutsem
Active Management of Low-Voltage Networks for Mitigating Overvoltages Due to Photovoltaic Units. IEEE Trans. Smart Grid 7 (2) (2016)
Sebastien Mathieu, Damien Ernst, Bertrand Cornélusse
Agent-based analysis of dynamic access ranges to the distribution network. ISGT Europe (2016)
Samy Aittahar, Vincent François-Lavet, Stefan Lodeweyckx, Damien Ernst, Raphaël Fonteneau
Imitative Learning for Online Planning in Microgrids. DARE (2015)
Michael Castronovo, Damien Ernst, Adrien Couëtoux, Raphaël Fonteneau
Benchmarking for Bayesian Reinforcement Learning. CoRR (2015)
Stijn Vandael, Bert Claessens, Damien Ernst, Tom Holvoet, Geert Deconinck
Reinforcement Learning of Heuristic EV Fleet Charging in a Day-Ahead Electricity Market. IEEE Trans. Smart Grid 6 (4) (2015)
Firas Safadi, Raphaël Fonteneau, Damien Ernst
Artificial Intelligence in Video Games: Towards a Unified Framework. Int. J. Comput. Games Technol. 2015 (2015)
Vincent François-Lavet, Raphaël Fonteneau, Damien Ernst
How to Discount Deep Reinforcement Learning: Towards New Dynamic Strategies. CoRR (2015)
Amaury Johnen, Damien Ernst, Christophe Geuzaine
Sequential decision-making approach for quadrangular mesh generation. Eng. Comput. 31 (4) (2015)
Sebastien Mathieu, Quentin Louveaux, Damien Ernst, Bertrand Cornélusse
A quantitative analysis of the effect of flexible loads on reserve markets. PSCC (2014)
Vincent François-Lavet, Raphaël Fonteneau, Damien Ernst
Using approximate dynamic programming for estimating the revenues of a hydrogen-based high-capacity storage device. ADPRL (2014)
Raphael Fonteneau, Damien Ernst, Bernard Boigelot, Quentin Louveaux
Lipschitz robust control from off-policy trajectories. CDC (2014)
Quentin Gemine, Damien Ernst, Quentin Louveaux, Bertrand Cornélusse
Relaxations for multi-period optimal power flow problems with discrete decision variables. PSCC (2014)
Quentin Gemine, Damien Ernst, Bertrand Cornélusse
Active network management for electrical distribution systems: problem formulation and benchmark. CoRR (2014)
Antonio Sutera, Arnaud Joly, Vincent François-Lavet, Zixiao Aaron Qiu, Gilles Louppe, Damien Ernst, Pierre Geurts
Simple connectome inference from partial correlation statistics in calcium imaging. CoRR (2014)
Antonio Sutera, Arnaud Joly, Vincent François-Lavet, Zixiao Aaron Qiu, Gilles Louppe, Damien Ernst, Pierre Geurts
Simple Connectome Inference from Partial Correlation Statistics in Calcium Imaging. Neural Connectomics (2014)
Sebastien Mathieu, Quentin Louveaux, Damien Ernst, Bertrand Cornélusse
A quantitative analysis of the effect of flexible loads on reserve markets. CoRR (2014)
Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst
Stratégies d'échantillonnage pour l'apprentissage par renforcement batch. Rev. d'Intelligence Artif. 27 (2) (2013)
Boris Defourny, Damien Ernst, Louis Wehenkel
Scenario Trees and Policy Selection for Multistage Stochastic Programming Using Machine Learning. INFORMS J. Comput. 25 (3) (2013)
Aivar Sootla, Natalja Strelkowa, Damien Ernst, Mauricio Barahona, Guy-Bart Stan
Toggling a Genetic Switch Using Reinforcement Learning CoRR (2013)
Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst
Batch mode reinforcement learning based on the synthesis of artificial trajectories. Ann. Oper. Res. 208 (1) (2013)
Sebastien Mathieu, Damien Ernst, Quentin Louveaux
An efficient algorithm for the provision of a day-ahead modulation service by a load aggregator. ISGT Europe (2013)
Tobias Jung, Damien Ernst, Francis Maes
Optimized look-ahead trees: Extensions to large and continuous action spaces. ADPRL (2013)
Aivar Sootla, Natalja Strelkowa, Damien Ernst, Mauricio Barahona, Guy-Bart Stan
On periodic reference tracking using batch-mode reinforcement learning with application to gene regulatory network control. CDC (2013)
Sébastien Bubeck, Damien Ernst, Aurélien Garivier
Optimal discovery with probabilistic expert advice: finite time analysis and macroscopic optimality. J. Mach. Learn. Res. 14 (1) (2013)
Tobias Jung, Sylvain Martin, Mohamed Nassar, Damien Ernst, Guy Leduc
Outbound SPIT filter with optimal performance guarantees. Comput. Networks 57 (7) (2013)
Francis Maes, David Lupien St-Pierre, Damien Ernst
Monte Carlo Search Algorithm Discovery for Single-Player Games. IEEE Trans. Comput. Intell. AI Games 5 (3) (2013)
Raphael Fonteneau, Damien Ernst, Bernard Boigelot, Quentin Louveaux
Min Max Generalization for Deterministic Batch Mode Reinforcement Learning: Relaxation Schemes. SIAM J. Control. Optim. 51 (5) (2013)
Aivar Sootla, Natalja Strelkowa, Damien Ernst, Mauricio Barahona, Guy-Bart Stan
On Periodic Reference Tracking Using Batch-Mode Reinforcement Learning with Application to Gene Regulatory Network Control CoRR (2013)
Francis Maes, Damien Ernst, Louis Wehenkel
Meta-Learning of Exploration/Exploitation Strategies: The Multi-Armed Bandit Case CoRR (2012)
Sébastien Bubeck, Damien Ernst, Aurélien Garivier
Optimal discovery with probabilistic expert advice: finite time analysis and macroscopic optimality CoRR (2012)

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Publication Activity (10 Years)

Top Topics

Top Venues

Damien Ernst