Application of Reinforcement Learning to Electrical Power System Closed-Loop Emergency Control. - Christophe Druet; Damien Ernst; Louis Wehenkel (PKDD, 2000)

Reinforcement learning applied to power system oscillations damping. - Damien Ernst (CDC, 2001)

A control strategy for controllable series capacitor in electric power systems. - M. Ghandhari; Göran Andersson; M. Pavella; Damien Ernst (Autom., 2001)

Iteratively Extending Time Horizon Reinforcement Learning. - Damien Ernst; Pierre Geurts; Louis Wehenkel (ECML, 2003)

Near Optimal Closed-Loop Control. Application to Electric Power Systems. - Damien Ernst (2003)

Tree-Based Batch Mode Reinforcement Learning. - Damien Ernst; Pierre Geurts; Louis Wehenkel (J. Mach. Learn. Res., 2005)

Clinical data based optimal STI strategies for HIV: a reinforcement learning approach. - Damien Ernst; Guy-Bart Stan; Jorge M. Gonçalves; Louis Wehenkel (CDC, 2006)

Reinforcement Learning with Raw Image Pixels as Input State. - Damien Ernst; Raphaël Marée; Louis Wehenkel (IWICPAS, 2006)

Extremely randomized trees. - Pierre Geurts; Damien Ernst; Louis Wehenkel (Mach. Learn., 2006)

Continuous-State Reinforcement Learning with Fuzzy Approximation. - Lucian Busoniu; Damien Ernst; Bart De Schutter; Robert Babuska (Adaptive Agents and Multi-Agents Systems, 2007)

Fuzzy Approximation for Convergent Model-Based Reinforcement Learning. - Lucian Busoniu; Damien Ernst; Bart De Schutter; Robert Babuska (FUZZ-IEEE, 2007)

Estimation of rotor angles of synchronous machines using artificial neural networks and local PMU-based quantities. - Alberto Del Angel; Pierre Geurts; Damien Ernst; Mevludin Glavic; Louis Wehenkel (Neurocomputing, 2007)

Lazy Planning under Uncertainty by Optimizing Decisions on an Ensemble of Incomplete Disturbance Trees. - Boris Defourny; Damien Ernst; Louis Wehenkel (EWRL, 2008)

Consistency of fuzzy model-based reinforcement learning. - Lucian Busoniu; Damien Ernst; Bart De Schutter; Robert Babuska (FUZZ-IEEE, 2008)

Policy search with cross-entropy optimization of basis functions. - Lucian Busoniu; Damien Ernst; Bart De Schutter; Robert Babuska (ADPRL, 2009)

Planning under uncertainty, ensembles of disturbance trees and kernelized discrete action spaces. - Boris Defourny; Damien Ernst; Louis Wehenkel (ADPRL, 2009)

Inferring bounds on the performance of a control policy from a sample of trajectories. - Raphaël Fonteneau; Susan A. Murphy; Louis Wehenkel; Damien Ernst (ADPRL, 2009)

Decentralized Reactive Power Dispatch for a Time-Varying Multi-TSO System. - Yannick Phulpin; Miroslav Begovic; Marc Petit; Damien Ernst (HICSS, 2009)

Bounds for Multistage Stochastic Programs Using Supervised Learning Strategies. - Boris Defourny; Damien Ernst; Louis Wehenkel (SAGA, 2009)

Reinforcement Learning Versus Model Predictive Control: A Comparison on a Power System Problem. - Damien Ernst; Mevludin Glavic; Florin Capitanescu; Louis Wehenkel (IEEE Trans. Syst. Man Cybern. Part B, 2009)

Online least-squares policy iteration for reinforcement learning control. - Lucian Busoniu; Damien Ernst; Bart De Schutter; Robert Babuska (ACC, 2010)

A Cautious Approach to Generalization in Reinforcement Learning. - Raphael Fonteneau; Susan A. Murphy; Louis Wehenkel; Damien Ernst (ICAART (1), 2010)

Towards Min Max Generalization in Reinforcement Learning. - Raphael Fonteneau; Susan A. Murphy; Louis Wehenkel; Damien Ernst (ICAART (Revised Selected Papers), 2010)

Upper Confidence Bound Based Decision Making Strategies and Dynamic Spectrum Access. - Wassim Jouini; Damien Ernst; Christophe Moy; Jacques Palicot (ICC, 2010)

Approximate dynamic programming with a fuzzy parameterization. - Lucian Busoniu; Damien Ernst; Bart De Schutter; Robert Babuska (Autom., 2010)

Model-Free Monte Carlo-like Policy Evaluation. - Raphael Fonteneau; Susan A. Murphy; Louis Wehenkel; Damien Ernst (AISTATS, 2010)

Approximate reinforcement learning: An overview. - Lucian Busoniu; Damien Ernst; Bart De Schutter; Robert Babuska (ADPRL, 2011)

Active exploration by searching for experiments that falsify the computed control policy. - Raphael Fonteneau; Susan A. Murphy; Louis Wehenkel; Damien Ernst (ADPRL, 2011)

Automatic Discovery of Ranking Formulas for Playing with Multi-armed Bandits. - Francis Maes; Louis Wehenkel; Damien Ernst (EWRL, 2011)

Optimized Look-ahead Tree Search Policies. - Francis Maes; Louis Wehenkel; Damien Ernst (EWRL, 2011)

Optimal Sample Selection for Batch-mode Reinforcement Learning. - Emmanuel Rachelson; François Schnitzler; Louis Wehenkel; Damien Ernst (ICAART (1), 2011)

Model predictive control of HVDC power flow to improve transient stability in power systems. - Yannick Phulpin; Jagabondhu Hazra; Damien Ernst (SmartGridComm, 2011)

Estimation Monte Carlo sans modèle de politiques de décision. - Raphael Fonteneau; Susan A. Murphy; Louis Wehenkel; Damien Ernst (Rev. d'Intelligence Artif., 2011)

Cross-Entropy Optimization of Control Policies With Adaptive Basis Functions. - Lucian Busoniu; Damien Ernst; Bart De Schutter; Robert Babuska (IEEE Trans. Syst. Man Cybern. Part B, 2011)

SPRT for SPIT: Using the Sequential Probability Ratio Test for Spam in VoIP Prevention. - Tobias Jung; Sylvain Martin; Damien Ernst; Guy Leduc (AIMS, 2012)

Optimal discovery with probabilistic expert advice. - Sébastien Bubeck; Damien Ernst; Aurélien Garivier (CDC, 2012)

Imitative learning for real-time strategy games. - Quentin Gemine; Firas Safadi; Raphael Fonteneau; Damien Ernst (CIG, 2012)

Comparison of different selection strategies in Monte-Carlo Tree Search for the game of Tron. - Pierre Perick; David Lupien St-Pierre; Francis Maes; Damien Ernst (CIG, 2012)

Policy Search in a Space of Simple Closed-form Formulas: Towards Interpretability of Reinforcement Learning. - Francis Maes; Raphael Fonteneau; Louis Wehenkel; Damien Ernst (Discovery Science, 2012)

Learning Exploration/Exploitation Strategies for Single Trajectory Reinforcement Learning. - Michael Castronovo; Francis Maes; Raphael Fonteneau; Damien Ernst (EWRL, 2012)

Learning to Play K-armed Bandit Problems. - Francis Maes; Louis Wehenkel; Damien Ernst (ICAART (1), 2012)

Meta-learning of Exploration/Exploitation Strategies: The Multi-armed Bandit Case. - Francis Maes; Louis Wehenkel; Damien Ernst (ICAART (Revised Selected Papers), 2012)

Contextual multi-armed bandits for web server defense. - Tobias Jung; Sylvain Martin; Damien Ernst; Guy Leduc (IJCNN, 2012)

Cooperative frequency control with a multi-terminal high-voltage DC network. - Alain Sarlette; Jing Dai; Yannick Phulpin; Damien Ernst (Autom., 2012)

Contextual Multi-armed Bandits for the Prevention of Spam in VoIP Networks - Tobias Jung; Sylvain Martin; Damien Ernst; Guy Leduc (CoRR, 2012)

The Global Grid - Spyros Chatzivasileiadis; Damien Ernst; Göran Andersson (CoRR, 2012)

Monte Carlo Search Algorithm Discovery for One Player Games - Francis Maes; David Lupien St-Pierre; Damien Ernst (CoRR, 2012)

Optimized Look-Ahead Tree Policies: A Bridge Between Look-Ahead Tree Policies and Direct Policy Search - Tobias Jung; Louis Wehenkel; Damien Ernst; Francis Maes (CoRR, 2012)

Optimized look-ahead trees: Extensions to large and continuous action spaces. - Tobias Jung; Damien Ernst; Francis Maes (ADPRL, 2013)

On periodic reference tracking using batch-mode reinforcement learning with application to gene regulatory network control. - Aivar Sootla; Natalja Strelkowa; Damien Ernst; Mauricio Barahona; Guy-Bart Stan (CDC, 2013)

An efficient algorithm for the provision of a day-ahead modulation service by a load aggregator. - Sebastien Mathieu; Damien Ernst; Quentin Louveaux (ISGT Europe, 2013)

Batch mode reinforcement learning based on the synthesis of artificial trajectories. - Raphael Fonteneau; Susan A. Murphy; Louis Wehenkel; Damien Ernst (Ann. Oper. Res., 2013)

Outbound SPIT filter with optimal performance guarantees. - Tobias Jung; Sylvain Martin; Mohamed Nassar 001; Damien Ernst; Guy Leduc (Comput. Networks, 2013)

Toggling a Genetic Switch Using Reinforcement Learning - Aivar Sootla; Natalja Strelkowa; Damien Ernst; Mauricio Barahona; Guy-Bart Stan (CoRR, 2013)

Scenario Trees and Policy Selection for Multistage Stochastic Programming Using Machine Learning. - Boris Defourny; Damien Ernst; Louis Wehenkel (INFORMS J. Comput., 2013)

Optimal discovery with probabilistic expert advice: finite time analysis and macroscopic optimality. - Sébastien Bubeck; Damien Ernst; Aurélien Garivier (J. Mach. Learn. Res., 2013)

Stratégies d'échantillonnage pour l'apprentissage par renforcement batch. - Raphael Fonteneau; Susan A. Murphy; Louis Wehenkel; Damien Ernst (Rev. d'Intelligence Artif., 2013)

Min Max Generalization for Deterministic Batch Mode Reinforcement Learning: Relaxation Schemes. - Raphael Fonteneau; Damien Ernst; Bernard Boigelot; Quentin Louveaux (SIAM J. Control. Optim., 2013)

Monte Carlo Search Algorithm Discovery for Single-Player Games. - Francis Maes; David Lupien St-Pierre; Damien Ernst (IEEE Trans. Comput. Intell. AI Games, 2013)

Using approximate dynamic programming for estimating the revenues of a hydrogen-based high-capacity storage device. - Vincent François-Lavet; Raphaël Fonteneau; Damien Ernst (ADPRL, 2014)

Lipschitz robust control from off-policy trajectories. - Raphael Fonteneau; Damien Ernst; Bernard Boigelot; Quentin Louveaux (CDC, 2014)

Simple Connectome Inference from Partial Correlation Statistics in Calcium Imaging. - Antonio Sutera; Arnaud Joly; Vincent François-Lavet; Zixiao Aaron Qiu; Gilles Louppe; Damien Ernst; Pierre Geurts (Neural Connectomics, 2014)

Relaxations for multi-period optimal power flow problems with discrete decision variables. - Quentin Gemine; Damien Ernst; Quentin Louveaux; Bertrand Cornélusse (PSCC, 2014)

A quantitative analysis of the effect of flexible loads on reserve markets. - Sebastien Mathieu; Quentin Louveaux; Damien Ernst; Bertrand Cornélusse (PSCC, 2014)

Active network management for electrical distribution systems: problem formulation and benchmark. - Quentin Gemine; Damien Ernst; Bertrand Cornélusse (CoRR, 2014)

Imitative Learning for Online Planning in Microgrids. - Samy Aittahar; Vincent François-Lavet; Stefan Lodeweyckx; Damien Ernst; Raphaël Fonteneau (DARE, 2015)

Benchmarking for Bayesian Reinforcement Learning. - Michael Castronovo; Damien Ernst; Adrien Couëtoux; Raphaël Fonteneau (CoRR, 2015)

How to Discount Deep Reinforcement Learning: Towards New Dynamic Strategies. - Vincent François-Lavet; Raphaël Fonteneau; Damien Ernst (CoRR, 2015)

Sequential decision-making approach for quadrangular mesh generation. - Amaury Johnen; Damien Ernst; Christophe Geuzaine (Eng. Comput., 2015)

Artificial Intelligence in Video Games: Towards a Unified Framework. - Firas Safadi; Raphaël Fonteneau; Damien Ernst (Int. J. Comput. Games Technol., 2015)

Reinforcement Learning of Heuristic EV Fleet Charging in a Day-Ahead Electricity Market. - Stijn Vandael; Bert Claessens; Damien Ernst; Tom Holvoet; Geert Deconinck (IEEE Trans. Smart Grid, 2015)

Decision Making from Confidence Measurement on the Reward Growth using Supervised Learning - A Study Intended for Large-scale Video Games. - D. Taralla; Z. Qiu; Antonio Sutera; Raphaël Fonteneau; Damien Ernst (ICAART (2), 2016)

Agent-based analysis of dynamic access ranges to the distribution network. - Sebastien Mathieu; Damien Ernst; Bertrand Cornélusse (ISGT Europe, 2016)

A Gaussian mixture approach to model stochastic processes in power systems. - Quentin Gemine; Bertrand Cornélusse; Mevludin Glavic; Raphaël Fonteneau; Damien Ernst (PSCC, 2016)

Direct control service from residential heat pump aggregation with specified payback. - E. Georges; Vincent Lemort; Bertrand Cornélusse; Damien Ernst; Quentin Louveaux; Sebastien Mathieu (PSCC, 2016)

Active Management of Low-Voltage Networks for Mitigating Overvoltages Due to Photovoltaic Units. - Frédéric Olivier; Petros Aristidou; Damien Ernst; Thierry Van Cutsem (IEEE Trans. Smart Grid, 2016)

Approximate Bayes Optimal Policy Search using Neural Networks. - Michael Castronovo; Vincent François-Lavet; Raphaël Fonteneau; Damien Ernst; Adrien Couëtoux (ICAART (2), 2017)

An App-based Algorithmic Approach for Harvesting Local and Renewable Energy using Electric Vehicles. - Antoine Dubois; Antoine Wehenkel; Raphael Fonteneau; Frédéric Olivier; Damien Ernst (ICAART (1), 2017)

An Optimal Control Formulation of Pulse-Based Control Using Koopman Operator. - Aivar Sootla; Alexandre Mauroy; Damien Ernst (CoRR, 2017)

On overfitting and asymptotic bias in batch reinforcement learning with partial observability. - Vincent François-Lavet; Damien Ernst; Raphael Fonteneau (CoRR, 2017)

A biased random key genetic algorithm applied to the electric distribution network reconfiguration problem. - Haroldo de Faria Jr.; Mauricio G. C. Resende; Damien Ernst (J. Heuristics, 2017)

Effect of voltage constraints on the exchange of flexibility services in distribution networks. - Sebastien Mathieu; Frédéric Olivier; Damien Ernst; Bertrand Cornélusse (ISGT, 2018)

Optimal control formulation of pulse-based control using Koopman operator. - Aivar Sootla; Alexandre Mauroy; Damien Ernst (Autom., 2018)

Critical Time Windows for Renewable Resource Complementarity Assessment. - Mathias Berger; Radu David; Raphael Fonteneau; Robin Henry; Mevludin Glavic; Xavier Fettweis; Marc Le Du; Patrick Panciatici; Lucian Balea; Damien Ernst (CoRR, 2018)

Complementarity Assessment of South Greenland Katabatic Flows and West Europe Wind Regimes. - David Radu; Mathias Berger; Raphaël Fonteneau; Simon Hardy; Xavier Fettweis; Marc Le Du; Patrick Panciatici; Lucian Balea; Damien Ernst (CoRR, 2018)

Introducing Neuromodulation in Deep Neural Networks to Learn Adaptive Behaviours. - Nicolas Vecoven; Damien Ernst; Guillaume Drion (CoRR, 2018)

Pulse-Based Control Using Koopman Operator Under Parametric Uncertainty. - Aivar Sootla; Damien Ernst (IEEE Trans. Autom. Control., 2018)

Blockchain: A Novel Approach for the Consensus Algorithm Using Condorcet Voting Procedure. - David Vangulick; Bertrand Cornélusse; Damien Ernst (DAPPCON, 2019)

On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability. - Vincent François-Lavet; Guillaume Rabusseau; Joelle Pineau; Damien Ernst; Raphael Fonteneau (J. Artif. Intell. Res., 2019)

On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract). - Vincent François-Lavet; Guillaume Rabusseau; Joelle Pineau; Damien Ernst; Raphael Fonteneau (IJCAI, 2020)

Learning optimal environments using projected stochastic gradient ascent. - Adrien Bolland; Ioannis Boukas; François Cornet; Mathias Berger; Damien Ernst (CoRR, 2020)

A bio-inspired bistable recurrent cell allows for long-lasting memory. - Nicolas Vecoven; Damien Ernst; Guillaume Drion (CoRR, 2020)

An Artificial Intelligence Solution for Electricity Procurement in Forward Markets. - Thibaut Théate; Sébastien Mathieu; Damien Ernst (CoRR, 2020)

Allocation of locally generated electricity in renewable energy communities. - Miguel Manuel de Villena; Sébastien Mathieu; Eric Vermeulen; Damien Ernst (CoRR, 2020)

Assessing the Economic Value of Renewable Resource Complementarity for Power Systems: an ENTSO-E Study. - David Radu; Mathias Berger; Antoine Dubois; Raphael Fonteneau; Hrvoje Pandzic; Yury Dvorkin; Quentin Louveaux; Damien Ernst (CoRR, 2020)

QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement Learning. - Pascal Leroy; Damien Ernst; Pierre Geurts; Gilles Louppe; Jonathan Pisane; Matthia Sabatelli (CoRR, 2020)

Sparse Training Theory for Scalable and Efficient Agents. - Decebal Constantin Mocanu; Elena Mocanu; Tiago Pinto; Selima Curci; Phuong H. Nguyen; Madeleine Gibescu; Damien Ernst; Zita A. Vale (AAMAS, 2021)

Reconstruction of Low-Voltage Networks with Limited Observability. - Daniele Marulli; Sébastien Mathieu; Amina Benzerga; Antonio Sutera; Damien Ernst (ISGT-Europe, 2021)

Remote Renewable Hubs For Carbon-Neutral Synthetic Fuel Production. - Mathias Berger; David Radu; Ghislain Detienne; Thierry Deschuyteneer; Aurore Richel; Damien Ernst (CoRR, 2021)

Gym-ANM: Reinforcement Learning Environments for Active Network Management Tasks in Electricity Distribution Systems. - Robin Henry; Damien Ernst (CoRR, 2021)

Model Reduction in Capacity Expansion Planning Problems via Renewable Generation Site Selection. - David Radu; Antoine Dubois; Mathias Berger; Damien Ernst (CoRR, 2021)

M4Depth: A motion-based approach for monocular depth estimation on video sequences. - Michaël Fonder; Damien Ernst; Marc Van Droogenbroeck (CoRR, 2021)

Warming-up recurrent neural networks to maximize reachable multi-stability greatly improves learning. - Nicolas Vecoven; Damien Ernst; Guillaume Drion (CoRR, 2021)

Computing Necessary Conditions for Near-Optimality in Capacity Expansion Planning Problems. - Antoine Dubois; Damien Ernst (CoRR, 2021)

An application of deep reinforcement learning to algorithmic trading. - Thibaut Théate; Damien Ernst (Expert Syst. Appl., 2021)

A deep reinforcement learning framework for continuous intraday market bidding. - Ioannis Boukas; Damien Ernst; Thibaut Théate; Adrien Bolland; Alexandre Huynen; Martin Buchwald; Christelle Wynants; Bertrand Cornélusse (Mach. Learn., 2021)

Gym-ANM: Open-source software to leverage reinforcement learning for power system management in research and education. - Robin Henry; Damien Ernst (Softw. Impacts, 2021)

Financial Optimization of Renewable Energy Communities Through Optimal Allocation of Locally Generated Electricity. - Miguel Manuel de Villena; Samy Aittahar; Sebastien Mathieu; Ioannis Boukas; Eric Vermeulen; Damien Ernst (IEEE Access, 2022)

Churn prediction in online gambling. - Florian Merchie; Damien Ernst (CoRR, 2022)

Optimal Connection Phase Selection of Residential Distributed Energy Resources and its Impact on Aggregated Demand. - Amina Benzerga; Alireza Bahmanyar; Damien Ernst (CoRR, 2022)

Value-based CTDE Methods in Symmetric Two-team Markov Game: from Cooperation to Team Competition. - Pascal Leroy; Jonathan Pisane; Damien Ernst (CoRR, 2022)

Jointly Learning Environments and Control Policies with Projected Stochastic Gradient Ascent. - Adrien Bolland; Ioannis Boukas; Mathias Berger; Damien Ernst (J. Artif. Intell. Res., 2022)

GBOML: Graph-Based Optimization Modeling Language. - Bardhyl Miftari; Mathias Berger; Hatim Djelassi; Damien Ernst (J. Open Source Softw., 2022)

Siting renewable power generation assets with combinatorial optimisation. - Mathias Berger; David Radu; Antoine Dubois; Hrvoje Pandzic; Yury Dvorkin; Quentin Louveaux; Damien Ernst (Optim. Lett., 2022)

Parallax Inference for Robust Temporal Monocular Depth Estimation in Unstructured Environments. - Michaël Fonder; Damien Ernst; Marc Van Droogenbroeck (Sensors, 2022)

Recurrent networks, hidden states and beliefs in partially observable environments. - Gaspard Lambrechts; Adrien Bolland; Damien Ernst (Trans. Mach. Learn. Res., 2022)

Impacts of spatial and temporal resolutions on the near-optimal spaces of energy system optimisation models. - Antoine Dubois; Damien Ernst (ISGT EUROPE, 2023)

IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL. - Pascal Leroy; Pablo G. Morato; Jonathan Pisane; Athanasios Kolios; Damien Ernst (NeurIPS, 2023)

Multi-objective near-optimal necessary conditions for multi-sectoral planning. - Antoine Dubois; Jonathan Dumas; Paolo Thiran; Gauthier Limpens; Damien Ernst (CoRR, 2023)

Distributional reinforcement learning with unconstrained monotonic neural networks. - Thibaut Théate; Antoine Wehenkel; Adrien Bolland; Gilles Louppe; Damien Ernst (Neurocomputing, 2023)

Policy Gradient Algorithms Implicitly Optimize by Continuation. - Adrien Bolland; Gilles Louppe; Damien Ernst (Trans. Mach. Learn. Res., 2023)

Risk-Sensitive Policy with Distributional Reinforcement Learning. - Thibaut Théate; Damien Ernst (Algorithms, 2023)

Warming up recurrent neural networks to maximise reachable multistability greatly improves learning. - Gaspard Lambrechts; Florent De Geeter; Nicolas Vecoven; Damien Ernst; Guillaume Drion (Neural Networks, 2023)

Informed POMDP: Leveraging Additional Information in Model-Based RL. - Gaspard Lambrechts; Adrien Bolland; Damien Ernst (RLJ, 2024)

Comprehensive Review on Static and Dynamic Distribution Network Reconfiguration Methodologies. - Milad Rahimipour Behbahani; Alireza Jalilian; Alireza Bahmanyar; Damien Ernst (IEEE Access, 2024)

Optimal Control of Renewable Energy Communities subject to Network Peak Fees with Model Predictive Control and Reinforcement Learning Algorithms. - Samy Aittahar; Adrien Bolland; Guillaume Derval; Damien Ernst (CoRR, 2024)

Behind the Myth of Exploration in Policy Gradients. - Adrien Bolland; Gaspard Lambrechts; Damien Ernst (CoRR, 2024)

Reinforcement Learning to improve delta robot throws for sorting scrap metal. - Arthur Louette; Gaspard Lambrechts; Damien Ernst; Eric Pirard; Godefroid Dislaire (CoRR, 2024)

Parallelizing Autoregressive Generation with Variational State Space Models. - Gaspard Lambrechts; Yann Claes; Pierre Geurts; Damien Ernst (CoRR, 2024)

Costs Estimation in Unit Commitment Problems using Simulation-Based Inference. - Matthias Pirlet; Adrien Bolland; Gilles Louppe; Damien Ernst (CoRR, 2024)

An Optimization Algorithm for Customer Topological Paths Identification in Electrical Distribution Networks. - Maurizio Vassallo; Adrien Leerschool; Alireza Bahmanyar; Laurine Duchesne; Simon Gerard; Thomas Wehenkel; Damien Ernst (CoRR, 2024)

Fair Reinforcement Learning Algorithm for PV Active Control in LV Distribution Networks. - Maurizio Vassallo; Amina Benzerga; Alireza Bahmanyar; Damien Ernst (CoRR, 2024)

A Systematic Procedure for Topological Path Identification with Raw Data Transformation in Electrical Distribution Networks. - Maurizio Vassallo; Alireza Bahmanyar; Laurine Duchesne; Adrien Leerschool; Simon Gerard; Thomas Wehenkel; Damien Ernst (CoRR, 2024)

Off-Policy Maximum Entropy RL with Future State and Action Visitation Measures. - Adrien Bolland; Gaspard Lambrechts; Damien Ernst (CoRR, 2024)

Spike-based computation using classical recurrent neural networks. - Florent De Geeter; Damien Ernst; Guillaume Drion (Neuromorph. Comput. Eng., 2024)

GBOML: a structure-exploiting optimization modelling language in Python. - Bardhyl Miftari; Mathias Berger; Guillaume Derval; Quentin Louveaux; Damien Ernst (Optim. Methods Softw., 2024)

Exploiting the Flexibility Potential of Water Distribution Networks: A Pilot Project in Belgium. - Ioannis Boukas; Elodie Burtin; Antonio Sutera; Quentin Gemine; Bernard Pevee; Damien Ernst (IEEE Trans. Smart Grid, 2024)

Exploration of Rationale-Extraction Methods for Closed-Domain Question Answering with a New Sentence-Level Rationale Dataset. - Lize Pirenne; Samy Mokeddem; Damien Ernst; Gilles Louppe (NLDB (2), 2025)

A Unified Definition of Hosting Capacity, Applications, and Review. - Amina Benzerga; Alireza Bahmanyar; Guillaume Derval; Damien Ernst (IEEE Access, 2025)

Automated Class Imbalance Learning via Few-Shot Multi-Objective Bayesian Optimization With Deep Kernel Gaussian Processes. - Zhaoyang Wang; Shuo Wang 005; Damien Ernst; Chenguang Xiao (IEEE Access, 2025)

MELGYM: A dynamic control interface for MELCOR simulations. - Antonio Manjavacas; Juan Gómez-Romero; Damien Ernst; Manuel A. Vázquez-Barroso; Francisco Martín-Fuertes (SoftwareX, 2025)

Efficient LP warmstarting for linear modifications of the constraint matrix. - Guillaume Derval; Bardhyl Miftari; Damien Ernst; Quentin Louveaux (CoRR, 2025)

Investigating the Monte-Carlo Tree Search Approach for the Job Shop Scheduling Problem. - Laurie Boveroux; Damien Ernst; Quentin Louveaux (CoRR, 2025)

A Theoretical Justification for Asymmetric Actor-Critic Algorithms. - Gaspard Lambrechts; Damien Ernst; Aditya Mahajan (CoRR, 2025)

How to craft a deep reinforcement learning policy for wind farm flow control. - Elie Kadoche; Pascal Bianchi; Florence Carton; Philippe Ciblat; Damien Ernst (CoRR, 2025)

Remote Renewable Energy Hubs: a Taxonomy. - Victor Dachet; Antoine Dubois; Bardhyl Miftari; Raphaël Fonteneau; Damien Ernst (CoRR, 2025)

Ammonia, Methane, Hydrogen and Methanol Produced in Remote Renewable Energy Hubs: a Comparative Quantitative Analysis. - Antoine Larbanois; Victor Dachet; Antoine Dubois; Raphaël Fonteneau; Damien Ernst (CoRR, 2025)