Damien Ernst - RankMe

177 papers A* 3A 2B 5C 1Journal 117Unranked 48

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Gym-TORAX: Open-source software for integrating reinforcement learning with plasma control simulators in tokamak research. Softw. Impacts Antoine Mouchamps, Arthur Malherbe, Adrien Bolland, Damien Ernst
2026	J	`jnl`	Maximum-Entropy Exploration with Future State-Action Visitation Measures. CoRR Adrien Bolland, Gaspard Lambrechts, Damien Ernst
2026	J	`jnl`	Parallelizable memory recurrent units. CoRR Florent De Geeter, Gaspard Lambrechts, Damien Ernst, Guillaume Drion
2025	A*	`conf`	A Theoretical Justification for Asymmetric Actor-Critic Algorithms. ICML Gaspard Lambrechts, Damien Ernst, Aditya Mahajan
2025	J	`jnl`	A Theoretical Justification for Asymmetric Actor-Critic Algorithms. CoRR Gaspard Lambrechts, Damien Ernst, Aditya Mahajan
2025	J	`jnl`	A Unified Definition of Hosting Capacity, Applications, and Review. IEEE Access Amina Benzerga, Alireza Bahmanyar, Guillaume Derval, Damien Ernst
2025	J	`jnl`	Ammonia, Methane, Hydrogen and Methanol Produced in Remote Renewable Energy Hubs: a Comparative Quantitative Analysis. CoRR Antoine Larbanois, Victor Dachet, Antoine Dubois, Raphaël Fonteneau, Damien Ernst
2025	J	`jnl`	Automated Class Imbalance Learning via Few-Shot Multi-Objective Bayesian Optimization With Deep Kernel Gaussian Processes. IEEE Access Zhaoyang Wang, Shuo Wang, Damien Ernst, Chenguang Xiao
2025	B	`conf`	Automated Class Imbalance Learning via Few-shot Bayesian Optimization with Meta-learned Deep Kernel Surrogates. IJCNN Zhaoyang Wang, Shuo Wang, Damien Ernst
2025	J	`jnl`	Efficient LP warmstarting for linear modifications of the constraint matrix. CoRR Guillaume Derval, Bardhyl Miftari, Damien Ernst, Quentin Louveaux
2025	—	`conf`	Exploration of Rationale-Extraction Methods for Closed-Domain Question Answering with a New Sentence-Level Rationale Dataset. NLDB (2) Lize Pirenne, Samy Mokeddem, Damien Ernst, Gilles Louppe
2025	J	`jnl`	Fast reconstruction of degenerate populations of conductance-based neuron models from spike times. CoRR Julien Brandoit, Damien Ernst, Guillaume Drion, Arthur Fyon
2025	J	`jnl`	Gym-TORAX: Open-source software for integrating RL with plasma control simulators. CoRR Antoine Mouchamps, Arthur Malherbe, Adrien Bolland, Damien Ernst
2025	J	`jnl`	How to craft a deep reinforcement learning policy for wind farm flow control. CoRR Elie Kadoche, Pascal Bianchi, Florence Carton, Philippe Ciblat, Damien Ernst
2025	J	`jnl`	Informed Asymmetric Actor-Critic: Leveraging Privileged Signals Beyond Full-State Access. CoRR Daniel Ebi, Gaspard Lambrechts, Damien Ernst, Klemens Böhm
2025	J	`jnl`	Investigating the Monte-Carlo Tree Search Approach for the Job Shop Scheduling Problem. CoRR Laurie Boveroux, Damien Ernst, Quentin Louveaux
2025	J	`jnl`	Investigating the Monte-Carlo Tree Search approach for the job shop scheduling problem. EURO J. Comput. Optim. Laurie Boveroux, Damien Ernst, Quentin Louveaux
2025	J	`jnl`	MELGYM: A dynamic control interface for MELCOR simulations. SoftwareX Antonio Manjavacas, Juan Gómez-Romero, Damien Ernst, Manuel A. Vázquez-Barroso, Francisco Martín-Fuertes
2025	J	`jnl`	Remote Renewable Energy Hubs: a Taxonomy. CoRR Victor Dachet, Antoine Dubois, Bardhyl Miftari, Raphaël Fonteneau, Damien Ernst
2025	J	`jnl`	SecuLEx: a Secure Limit Exchange Market for Dynamic Operating Envelopes. CoRR Maurizio Vassallo, Adrien Bolland, Alireza Bahmanyar, Louis Wehenkel, Laurine Duchesne, Dong Liu, Sania Khaskheli, Alexis Ha Thuc, Pedro P. Vergara, Amjad Anvari-Moghaddam, Simon Gerard, Damien Ernst
2024	J	`jnl`	A Systematic Procedure for Topological Path Identification with Raw Data Transformation in Electrical Distribution Networks. CoRR Maurizio Vassallo, Alireza Bahmanyar, Laurine Duchesne, Adrien Leerschool, Simon Gerard, Thomas Wehenkel, Damien Ernst
2024	J	`jnl`	An Optimization Algorithm for Customer Topological Paths Identification in Electrical Distribution Networks. CoRR Maurizio Vassallo, Adrien Leerschool, Alireza Bahmanyar, Laurine Duchesne, Simon Gerard, Thomas Wehenkel, Damien Ernst
2024	J	`jnl`	Behind the Myth of Exploration in Policy Gradients. CoRR Adrien Bolland, Gaspard Lambrechts, Damien Ernst
2024	J	`jnl`	Comprehensive Review on Static and Dynamic Distribution Network Reconfiguration Methodologies. IEEE Access Milad Rahimipour Behbahani, Alireza Jalilian, Alireza Bahmanyar, Damien Ernst
2024	J	`jnl`	Costs Estimation in Unit Commitment Problems using Simulation-Based Inference. CoRR Matthias Pirlet, Adrien Bolland, Gilles Louppe, Damien Ernst
2024	J	`jnl`	Exploiting the Flexibility Potential of Water Distribution Networks: A Pilot Project in Belgium. IEEE Trans. Smart Grid Ioannis Boukas, Elodie Burtin, Antonio Sutera, Quentin Gemine, Bernard Pevee, Damien Ernst
2024	J	`jnl`	Fair Reinforcement Learning Algorithm for PV Active Control in LV Distribution Networks. CoRR Maurizio Vassallo, Amina Benzerga, Alireza Bahmanyar, Damien Ernst
2024	J	`jnl`	GBOML: a structure-exploiting optimization modelling language in Python. Optim. Methods Softw. Bardhyl Miftari, Mathias Berger, Guillaume Derval, Quentin Louveaux, Damien Ernst
2024	J	`jnl`	Informed POMDP: Leveraging Additional Information in Model-Based RL. RLJ Gaspard Lambrechts, Adrien Bolland, Damien Ernst
2024	J	`jnl`	Off-Policy Maximum Entropy RL with Future State and Action Visitation Measures. CoRR Adrien Bolland, Gaspard Lambrechts, Damien Ernst
2024	J	`jnl`	Optimal Control of Renewable Energy Communities subject to Network Peak Fees with Model Predictive Control and Reinforcement Learning Algorithms. CoRR Samy Aittahar, Adrien Bolland, Guillaume Derval, Damien Ernst
2024	J	`jnl`	Parallelizing Autoregressive Generation with Variational State Space Models. CoRR Gaspard Lambrechts, Yann Claes, Pierre Geurts, Damien Ernst
2024	J	`jnl`	Reinforcement Learning to improve delta robot throws for sorting scrap metal. CoRR Arthur Louette, Gaspard Lambrechts, Damien Ernst, Eric Pirard, Godefroid Dislaire
2024	J	`jnl`	Spike-based computation using classical recurrent neural networks. Neuromorph. Comput. Eng. Florent De Geeter, Damien Ernst, Guillaume Drion
2023	J	`jnl`	Distributional reinforcement learning with unconstrained monotonic neural networks. Neurocomputing Thibaut Théate, Antoine Wehenkel, Adrien Bolland, Gilles Louppe, Damien Ernst
2023	A*	`conf`	IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL. NeurIPS Pascal Leroy, Pablo G. Morato, Jonathan Pisane, Athanasios Kolios, Damien Ernst
2023	J	`jnl`	IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL. CoRR Pascal Leroy, Pablo G. Morato, Jonathan Pisane, Athanasios Kolios, Damien Ernst
2023	—	`conf`	Impacts of spatial and temporal resolutions on the near-optimal spaces of energy system optimisation models. ISGT EUROPE Antoine Dubois, Damien Ernst
2023	J	`jnl`	Informed POMDP: Leveraging Additional Information in Model-Based RL. CoRR Gaspard Lambrechts, Adrien Bolland, Damien Ernst
2023	J	`jnl`	Multi-objective near-optimal necessary conditions for multi-sectoral planning. CoRR Antoine Dubois, Jonathan Dumas, Paolo Thiran, Gauthier Limpens, Damien Ernst
2023	J	`jnl`	Policy Gradient Algorithms Implicitly Optimize by Continuation. CoRR Adrien Bolland, Gilles Louppe, Damien Ernst
2023	J	`jnl`	Policy Gradient Algorithms Implicitly Optimize by Continuation. Trans. Mach. Learn. Res. Adrien Bolland, Gilles Louppe, Damien Ernst
2023	J	`jnl`	Risk-Sensitive Policy with Distributional Reinforcement Learning. Algorithms Thibaut Théate, Damien Ernst
2023	J	`jnl`	Spike-based computation using classical recurrent neural networks. CoRR Florent De Geeter, Damien Ernst, Guillaume Drion
2023	J	`jnl`	Warming up recurrent neural networks to maximise reachable multistability greatly improves learning. Neural Networks Gaspard Lambrechts, Florent De Geeter, Nicolas Vecoven, Damien Ernst, Guillaume Drion
2022	J	`jnl`	Churn prediction in online gambling. CoRR Florian Merchie, Damien Ernst
2022	J	`jnl`	Financial Optimization of Renewable Energy Communities Through Optimal Allocation of Locally Generated Electricity. IEEE Access Miguel Manuel de Villena, Samy Aittahar, Sebastien Mathieu, Ioannis Boukas, Eric Vermeulen, Damien Ernst
2022	J	`jnl`	GBOML: Graph-Based Optimization Modeling Language. J. Open Source Softw. Bardhyl Miftari, Mathias Berger, Hatim Djelassi, Damien Ernst
2022	J	`jnl`	Jointly Learning Environments and Control Policies with Projected Stochastic Gradient Ascent. J. Artif. Intell. Res. Adrien Bolland, Ioannis Boukas, Mathias Berger, Damien Ernst
2022	J	`jnl`	Optimal Connection Phase Selection of Residential Distributed Energy Resources and its Impact on Aggregated Demand. CoRR Amina Benzerga, Alireza Bahmanyar, Damien Ernst
2022	J	`jnl`	Parallax Inference for Robust Temporal Monocular Depth Estimation in Unstructured Environments. Sensors Michaël Fonder, Damien Ernst, Marc Van Droogenbroeck
2022	J	`jnl`	Recurrent networks, hidden states and beliefs in partially observable environments. CoRR Gaspard Lambrechts, Adrien Bolland, Damien Ernst
2022	J	`jnl`	Recurrent networks, hidden states and beliefs in partially observable environments. Trans. Mach. Learn. Res. Gaspard Lambrechts, Adrien Bolland, Damien Ernst
2022	J	`jnl`	Risk-Sensitive Policy with Distributional Reinforcement Learning. CoRR Thibaut Théate, Damien Ernst
2022	J	`jnl`	Siting renewable power generation assets with combinatorial optimisation. Optim. Lett. Mathias Berger, David Radu, Antoine Dubois, Hrvoje Pandzic, Yury Dvorkin, Quentin Louveaux, Damien Ernst
2022	J	`jnl`	Value-based CTDE Methods in Symmetric Two-team Markov Game: from Cooperation to Team Competition. CoRR Pascal Leroy, Jonathan Pisane, Damien Ernst
2021	J	`jnl`	A deep reinforcement learning framework for continuous intraday market bidding. Mach. Learn. Ioannis Boukas, Damien Ernst, Thibaut Théate, Adrien Bolland, Alexandre Huynen, Martin Buchwald, Christelle Wynants, Bertrand Cornélusse
2021	J	`jnl`	An application of deep reinforcement learning to algorithmic trading. Expert Syst. Appl. Thibaut Théate, Damien Ernst
2021	J	`jnl`	Computing Necessary Conditions for Near-Optimality in Capacity Expansion Planning Problems. CoRR Antoine Dubois, Damien Ernst
2021	J	`jnl`	Distributional Reinforcement Learning with Unconstrained Monotonic Neural Networks. CoRR Thibaut Théate, Antoine Wehenkel, Adrien Bolland, Gilles Louppe, Damien Ernst
2021	J	`jnl`	Gym-ANM: Open-source software to leverage reinforcement learning for power system management in research and education. CoRR Robin Henry, Damien Ernst
2021	J	`jnl`	Gym-ANM: Open-source software to leverage reinforcement learning for power system management in research and education. Softw. Impacts Robin Henry, Damien Ernst
2021	J	`jnl`	Gym-ANM: Reinforcement Learning Environments for Active Network Management Tasks in Electricity Distribution Systems. CoRR Robin Henry, Damien Ernst
2021	J	`jnl`	M4Depth: A motion-based approach for monocular depth estimation on video sequences. CoRR Michaël Fonder, Damien Ernst, Marc Van Droogenbroeck
2021	J	`jnl`	Model Reduction in Capacity Expansion Planning Problems via Renewable Generation Site Selection. CoRR David Radu, Antoine Dubois, Mathias Berger, Damien Ernst
2021	—	`conf`	Reconstruction of Low-Voltage Networks with Limited Observability. ISGT-Europe Daniele Marulli, Sébastien Mathieu, Amina Benzerga, Antonio Sutera, Damien Ernst
2021	J	`jnl`	Remote Renewable Hubs For Carbon-Neutral Synthetic Fuel Production. CoRR Mathias Berger, David Radu, Ghislain Detienne, Thierry Deschuyteneer, Aurore Richel, Damien Ernst
2021	A	`conf`	Sparse Training Theory for Scalable and Efficient Agents. AAMAS Decebal Constantin Mocanu, Elena Mocanu, Tiago Pinto, Selima Curci, Phuong H. Nguyen, Madeleine Gibescu, Damien Ernst, Zita A. Vale
2021	J	`jnl`	Sparse Training Theory for Scalable and Efficient Agents. CoRR Decebal Constantin Mocanu, Elena Mocanu, Tiago Pinto, Selima Curci, Phuong H. Nguyen, Madeleine Gibescu, Damien Ernst, Zita A. Vale
2021	J	`jnl`	Warming-up recurrent neural networks to maximize reachable multi-stability greatly improves learning. CoRR Nicolas Vecoven, Damien Ernst, Guillaume Drion
2020	J	`jnl`	A Deep Reinforcement Learning Framework for Continuous Intraday Market Bidding. CoRR Ioannis Boukas, Damien Ernst, Thibaut Théate, Adrien Bolland, Alexandre Huynen, Martin Buchwald, Christelle Wynants, Bertrand Cornélusse
2020	J	`jnl`	A bio-inspired bistable recurrent cell allows for long-lasting memory. CoRR Nicolas Vecoven, Damien Ernst, Guillaume Drion
2020	J	`jnl`	Allocation of locally generated electricity in renewable energy communities. CoRR Miguel Manuel de Villena, Sébastien Mathieu, Eric Vermeulen, Damien Ernst
2020	J	`jnl`	An Application of Deep Reinforcement Learning to Algorithmic Trading. CoRR Thibaut Théate, Damien Ernst
2020	J	`jnl`	An Artificial Intelligence Solution for Electricity Procurement in Forward Markets. CoRR Thibaut Théate, Sébastien Mathieu, Damien Ernst
2020	J	`jnl`	Assessing the Economic Value of Renewable Resource Complementarity for Power Systems: an ENTSO-E Study. CoRR David Radu, Mathias Berger, Antoine Dubois, Raphael Fonteneau, Hrvoje Pandzic, Yury Dvorkin, Quentin Louveaux, Damien Ernst
2020	J	`jnl`	Learning optimal environments using projected stochastic gradient ascent. CoRR Adrien Bolland, Ioannis Boukas, François R. J. Cornet, Mathias Berger, Damien Ernst
2020	A*	`conf`	On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract). IJCAI Vincent François-Lavet, Guillaume Rabusseau, Joelle Pineau, Damien Ernst, Raphael Fonteneau
2020	J	`jnl`	QVMix and QVMix-Max: Extending the Deep Quality-Value Family of Algorithms to Cooperative Multi-Agent Reinforcement Learning. CoRR Pascal Leroy, Damien Ernst, Pierre Geurts, Gilles Louppe, Jonathan Pisane, Matthia Sabatelli
2019	—	`conf`	Blockchain: A Novel Approach for the Consensus Algorithm Using Condorcet Voting Procedure. DAPPCON David Vangulick, Bertrand Cornélusse, Damien Ernst
2019	J	`jnl`	On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability. J. Artif. Intell. Res. Vincent François-Lavet, Guillaume Rabusseau, Joelle Pineau, Damien Ernst, Raphael Fonteneau
2018	J	`jnl`	Complementarity Assessment of South Greenland Katabatic Flows and West Europe Wind Regimes. CoRR David Radu, Mathias Berger, Raphaël Fonteneau, Simon Hardy, Xavier Fettweis, Marc Le Du, Patrick Panciatici, Lucian Balea, Damien Ernst
2018	J	`jnl`	Critical Time Windows for Renewable Resource Complementarity Assessment. CoRR Mathias Berger, Radu David, Raphael Fonteneau, Robin Henry, Mevludin Glavic, Xavier Fettweis, Marc Le Du, Patrick Panciatici, Lucian Balea, Damien Ernst
2018	—	`conf`	Effect of voltage constraints on the exchange of flexibility services in distribution networks. ISGT Sebastien Mathieu, Frédéric Olivier, Damien Ernst, Bertrand Cornélusse
2018	J	`jnl`	Introducing Neuromodulation in Deep Neural Networks to Learn Adaptive Behaviours. CoRR Nicolas Vecoven, Damien Ernst, Guillaume Drion
2018	J	`jnl`	Optimal control formulation of pulse-based control using Koopman operator. Autom. Aivar Sootla, Alexandre Mauroy, Damien Ernst
2018	J	`jnl`	Pulse-Based Control Using Koopman Operator Under Parametric Uncertainty. IEEE Trans. Autom. Control. Aivar Sootla, Damien Ernst
2017	J	`jnl`	A biased random key genetic algorithm applied to the electric distribution network reconfiguration problem. J. Heuristics Haroldo de Faria Jr., Mauricio G. C. Resende, Damien Ernst
2017	—	`conf`	An App-based Algorithmic Approach for Harvesting Local and Renewable Energy using Electric Vehicles. ICAART (1) Antoine Dubois, Antoine Wehenkel, Raphael Fonteneau, Frédéric Olivier, Damien Ernst
2017	J	`jnl`	An Optimal Control Formulation of Pulse-Based Control Using Koopman Operator. CoRR Aivar Sootla, Alexandre Mauroy, Damien Ernst
2017	—	`conf`	Approximate Bayes Optimal Policy Search using Neural Networks. ICAART (2) Michael Castronovo, Vincent François-Lavet, Raphaël Fonteneau, Damien Ernst, Adrien Couëtoux
2017	J	`jnl`	On overfitting and asymptotic bias in batch reinforcement learning with partial observability. CoRR Vincent François-Lavet, Damien Ernst, Raphael Fonteneau
2017	J	`jnl`	Pulse-Based Control Using Koopman Operator Under Parametric Uncertainty. CoRR Aivar Sootla, Damien Ernst
2016	—	`conf`	A Gaussian mixture approach to model stochastic processes in power systems. PSCC Quentin Gemine, Bertrand Cornélusse, Mevludin Glavic, Raphaël Fonteneau, Damien Ernst
2016	J	`jnl`	Active Management of Low-Voltage Networks for Mitigating Overvoltages Due to Photovoltaic Units. IEEE Trans. Smart Grid Frédéric Olivier, Petros Aristidou, Damien Ernst, Thierry Van Cutsem
2016	—	`conf`	Agent-based analysis of dynamic access ranges to the distribution network. ISGT Europe Sebastien Mathieu, Damien Ernst, Bertrand Cornélusse
2016	—	`conf`	Decision Making from Confidence Measurement on the Reward Growth using Supervised Learning - A Study Intended for Large-scale Video Games. ICAART (2) D. Taralla, Z. Qiu, Antonio Sutera, Raphaël Fonteneau, Damien Ernst
2016	—	`conf`	Direct control service from residential heat pump aggregation with specified payback. PSCC E. Georges, Vincent Lemort, Bertrand Cornélusse, Damien Ernst, Quentin Louveaux, Sebastien Mathieu
2015	J	`jnl`	Artificial Intelligence in Video Games: Towards a Unified Framework. Int. J. Comput. Games Technol. Firas Safadi, Raphaël Fonteneau, Damien Ernst
2015	J	`jnl`	Benchmarking for Bayesian Reinforcement Learning. CoRR Michael Castronovo, Damien Ernst, Adrien Couëtoux, Raphaël Fonteneau
2015	J	`jnl`	How to Discount Deep Reinforcement Learning: Towards New Dynamic Strategies. CoRR Vincent François-Lavet, Raphaël Fonteneau, Damien Ernst
2015	—	`conf`	Imitative Learning for Online Planning in Microgrids. DARE Samy Aittahar, Vincent François-Lavet, Stefan Lodeweyckx, Damien Ernst, Raphaël Fonteneau
2015	J	`jnl`	Reinforcement Learning of Heuristic EV Fleet Charging in a Day-Ahead Electricity Market. IEEE Trans. Smart Grid Stijn Vandael, Bert Claessens, Damien Ernst, Tom Holvoet, Geert Deconinck
2015	J	`jnl`	Sequential decision-making approach for quadrangular mesh generation. Eng. Comput. Amaury Johnen, Damien Ernst, Christophe Geuzaine
2014	—	`conf`	A quantitative analysis of the effect of flexible loads on reserve markets. PSCC Sebastien Mathieu, Quentin Louveaux, Damien Ernst, Bertrand Cornélusse
2014	J	`jnl`	A quantitative analysis of the effect of flexible loads on reserve markets. CoRR Sebastien Mathieu, Quentin Louveaux, Damien Ernst, Bertrand Cornélusse
2014	J	`jnl`	Active network management for electrical distribution systems: problem formulation and benchmark. CoRR Quentin Gemine, Damien Ernst, Bertrand Cornélusse
2014	—	`conf`	Lipschitz robust control from off-policy trajectories. CDC Raphael Fonteneau, Damien Ernst, Bernard Boigelot, Quentin Louveaux
2014	—	`conf`	Relaxations for multi-period optimal power flow problems with discrete decision variables. PSCC Quentin Gemine, Damien Ernst, Quentin Louveaux, Bertrand Cornélusse
2014	—	`conf`	Simple Connectome Inference from Partial Correlation Statistics in Calcium Imaging. Neural Connectomics Antonio Sutera, Arnaud Joly, Vincent François-Lavet, Zixiao Aaron Qiu, Gilles Louppe, Damien Ernst, Pierre Geurts
2014	J	`jnl`	Simple connectome inference from partial correlation statistics in calcium imaging. CoRR Antonio Sutera, Arnaud Joly, Vincent François-Lavet, Zixiao Aaron Qiu, Gilles Louppe, Damien Ernst, Pierre Geurts
2014	—	`conf`	Using approximate dynamic programming for estimating the revenues of a hydrogen-based high-capacity storage device. ADPRL Vincent François-Lavet, Raphaël Fonteneau, Damien Ernst
2013	—	`conf`	An efficient algorithm for the provision of a day-ahead modulation service by a load aggregator. ISGT Europe Sebastien Mathieu, Damien Ernst, Quentin Louveaux
2013	J	`jnl`	Batch mode reinforcement learning based on the synthesis of artificial trajectories. Ann. Oper. Res. Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst
2013	J	`jnl`	Min Max Generalization for Deterministic Batch Mode Reinforcement Learning: Relaxation Schemes. SIAM J. Control. Optim. Raphael Fonteneau, Damien Ernst, Bernard Boigelot, Quentin Louveaux
2013	J	`jnl`	Monte Carlo Search Algorithm Discovery for Single-Player Games. IEEE Trans. Comput. Intell. AI Games Francis Maes, David Lupien St-Pierre, Damien Ernst
2013	J	`jnl`	On Periodic Reference Tracking Using Batch-Mode Reinforcement Learning with Application to Gene Regulatory Network Control CoRR Aivar Sootla, Natalja Strelkowa, Damien Ernst, Mauricio Barahona, Guy-Bart Stan
2013	—	`conf`	On periodic reference tracking using batch-mode reinforcement learning with application to gene regulatory network control. CDC Aivar Sootla, Natalja Strelkowa, Damien Ernst, Mauricio Barahona, Guy-Bart Stan
2013	J	`jnl`	Optimal discovery with probabilistic expert advice: finite time analysis and macroscopic optimality. J. Mach. Learn. Res. Sébastien Bubeck, Damien Ernst, Aurélien Garivier
2013	—	`conf`	Optimized look-ahead trees: Extensions to large and continuous action spaces. ADPRL Tobias Jung, Damien Ernst, Francis Maes
2013	J	`jnl`	Outbound SPIT filter with optimal performance guarantees. Comput. Networks Tobias Jung, Sylvain Martin, Mohamed Nassar, Damien Ernst, Guy Leduc
2013	J	`jnl`	Scenario Trees and Policy Selection for Multistage Stochastic Programming Using Machine Learning. INFORMS J. Comput. Boris Defourny, Damien Ernst, Louis Wehenkel
2013	J	`jnl`	Stratégies d'échantillonnage pour l'apprentissage par renforcement batch. Rev. d'Intelligence Artif. Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst
2013	J	`jnl`	Toggling a Genetic Switch Using Reinforcement Learning CoRR Aivar Sootla, Natalja Strelkowa, Damien Ernst, Mauricio Barahona, Guy-Bart Stan
2012	—	`conf`	Comparison of different selection strategies in Monte-Carlo Tree Search for the game of Tron. CIG Pierre Perick, David Lupien St-Pierre, Francis Maes, Damien Ernst
2012	J	`jnl`	Contextual Multi-armed Bandits for the Prevention of Spam in VoIP Networks CoRR Tobias Jung, Sylvain Martin, Damien Ernst, Guy Leduc
2012	B	`conf`	Contextual multi-armed bandits for web server defense. IJCNN Tobias Jung, Sylvain Martin, Damien Ernst, Guy Leduc
2012	J	`jnl`	Cooperative frequency control with a multi-terminal high-voltage DC network. Autom. Alain Sarlette, Jing Dai, Yannick Phulpin, Damien Ernst
2012	—	`conf`	Imitative learning for real-time strategy games. CIG Quentin Gemine, Firas Safadi, Raphael Fonteneau, Damien Ernst
2012	—	`conf`	Learning Exploration/Exploitation Strategies for Single Trajectory Reinforcement Learning. EWRL Michael Castronovo, Francis Maes, Raphael Fonteneau, Damien Ernst
2012	—	`conf`	Learning to Play K-armed Bandit Problems. ICAART (1) Francis Maes, Louis Wehenkel, Damien Ernst
2012	J	`jnl`	Meta-Learning of Exploration/Exploitation Strategies: The Multi-Armed Bandit Case CoRR Francis Maes, Damien Ernst, Louis Wehenkel
2012	—	`conf`	Meta-learning of Exploration/Exploitation Strategies: The Multi-armed Bandit Case. ICAART (Revised Selected Papers) Francis Maes, Louis Wehenkel, Damien Ernst
2012	J	`jnl`	Min Max Generalization for Deterministic Batch Mode Reinforcement Learning: Relaxation Schemes CoRR Raphael Fonteneau, Damien Ernst, Bernard Boigelot, Quentin Louveaux
2012	J	`jnl`	Monte Carlo Search Algorithm Discovery for One Player Games CoRR Francis Maes, David Lupien St-Pierre, Damien Ernst
2012	—	`conf`	Optimal discovery with probabilistic expert advice. CDC Sébastien Bubeck, Damien Ernst, Aurélien Garivier
2012	J	`jnl`	Optimal discovery with probabilistic expert advice: finite time analysis and macroscopic optimality CoRR Sébastien Bubeck, Damien Ernst, Aurélien Garivier
2012	J	`jnl`	Optimized Look-Ahead Tree Policies: A Bridge Between Look-Ahead Tree Policies and Direct Policy Search CoRR Tobias Jung, Louis Wehenkel, Damien Ernst, Francis Maes
2012	J	`jnl`	Outbound SPIT Filter with Optimal Performance Guarantees CoRR Tobias Jung, Sylvain Martin, Mohamed Nassar, Damien Ernst, Guy Leduc
2012	B	`conf`	Policy Search in a Space of Simple Closed-form Formulas: Towards Interpretability of Reinforcement Learning. Discovery Science Francis Maes, Raphael Fonteneau, Louis Wehenkel, Damien Ernst
2012	—	`conf`	SPRT for SPIT: Using the Sequential Probability Ratio Test for Spam in VoIP Prevention. AIMS Tobias Jung, Sylvain Martin, Damien Ernst, Guy Leduc
2012	J	`jnl`	The Global Grid CoRR Spyros Chatzivasileiadis, Damien Ernst, Göran Andersson
2011	—	`conf`	Active exploration by searching for experiments that falsify the computed control policy. ADPRL Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst
2011	—	`conf`	Approximate reinforcement learning: An overview. ADPRL Lucian Busoniu, Damien Ernst, Bart De Schutter, Robert Babuska
2011	—	`conf`	Automatic Discovery of Ranking Formulas for Playing with Multi-armed Bandits. EWRL Francis Maes, Louis Wehenkel, Damien Ernst
2011	J	`jnl`	Cross-Entropy Optimization of Control Policies With Adaptive Basis Functions. IEEE Trans. Syst. Man Cybern. Part B Lucian Busoniu, Damien Ernst, Bart De Schutter, Robert Babuska
2011	J	`jnl`	Estimation Monte Carlo sans modèle de politiques de décision. Rev. d'Intelligence Artif. Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst
2011	—	`conf`	Model predictive control of HVDC power flow to improve transient stability in power systems. SmartGridComm Yannick Phulpin, Jagabondhu Hazra, Damien Ernst
2011	—	`conf`	Optimal Sample Selection for Batch-mode Reinforcement Learning. ICAART (1) Emmanuel Rachelson, François Schnitzler, Louis Wehenkel, Damien Ernst
2011	J	`jnl`	Optimal discovery with probabilistic expert advice CoRR Sébastien Bubeck, Damien Ernst, Aurélien Garivier
2011	—	`conf`	Optimized Look-ahead Tree Search Policies. EWRL Francis Maes, Louis Wehenkel, Damien Ernst
2010	—	`conf`	A Cautious Approach to Generalization in Reinforcement Learning. ICAART (1) Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst
2010	J	`jnl`	Approximate dynamic programming with a fuzzy parameterization. Autom. Lucian Busoniu, Damien Ernst, Bart De Schutter, Robert Babuska
2010	A	`conf`	Model-Free Monte Carlo-like Policy Evaluation. AISTATS Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst
2010	C	`conf`	Online least-squares policy iteration for reinforcement learning control. ACC Lucian Busoniu, Damien Ernst, Bart De Schutter, Robert Babuska
2010	—	`conf`	Towards Min Max Generalization in Reinforcement Learning. ICAART (Revised Selected Papers) Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst
2010	—	`conf`	Upper Confidence Bound Based Decision Making Strategies and Dynamic Spectrum Access. ICC Wassim Jouini, Damien Ernst, Christophe Moy, Jacques Palicot
2009	—	`conf`	Bounds for Multistage Stochastic Programs Using Supervised Learning Strategies. SAGA Boris Defourny, Damien Ernst, Louis Wehenkel
2009	—	`conf`	Decentralized Reactive Power Dispatch for a Time-Varying Multi-TSO System. HICSS Yannick Phulpin, Miroslav Begovic, Marc Petit, Damien Ernst
2009	—	`conf`	Inferring bounds on the performance of a control policy from a sample of trajectories. ADPRL Raphaël Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst
2009	—	`conf`	Planning under uncertainty, ensembles of disturbance trees and kernelized discrete action spaces. ADPRL Boris Defourny, Damien Ernst, Louis Wehenkel
2009	—	`conf`	Policy search with cross-entropy optimization of basis functions. ADPRL Lucian Busoniu, Damien Ernst, Bart De Schutter, Robert Babuska
2009	J	`jnl`	Reinforcement Learning Versus Model Predictive Control: A Comparison on a Power System Problem. IEEE Trans. Syst. Man Cybern. Part B Damien Ernst, Mevludin Glavic, Florin Capitanescu, Louis Wehenkel
2008	B	`conf`	Consistency of fuzzy model-based reinforcement learning. FUZZ-IEEE Lucian Busoniu, Damien Ernst, Bart De Schutter, Robert Babuska
2008	—	`conf`	Lazy Planning under Uncertainty by Optimizing Decisions on an Ensemble of Incomplete Disturbance Trees. EWRL Boris Defourny, Damien Ernst, Louis Wehenkel
2007	—	`conf`	Continuous-State Reinforcement Learning with Fuzzy Approximation. Adaptive Agents and Multi-Agents Systems Lucian Busoniu, Damien Ernst, Bart De Schutter, Robert Babuska
2007	J	`jnl`	Estimation of rotor angles of synchronous machines using artificial neural networks and local PMU-based quantities. Neurocomputing Alberto Del Angel, Pierre Geurts, Damien Ernst, Mevludin Glavic, Louis Wehenkel
2007	B	`conf`	Fuzzy Approximation for Convergent Model-Based Reinforcement Learning. FUZZ-IEEE Lucian Busoniu, Damien Ernst, Bart De Schutter, Robert Babuska
2006	—	`conf`	Clinical data based optimal STI strategies for HIV: a reinforcement learning approach. CDC Damien Ernst, Guy-Bart Stan, Jorge M. Gonçalves, Louis Wehenkel
2006	J	`jnl`	Extremely randomized trees. Mach. Learn. Pierre Geurts, Damien Ernst, Louis Wehenkel
2006	—	`conf`	Reinforcement Learning with Raw Image Pixels as Input State. IWICPAS Damien Ernst, Raphaël Marée, Louis Wehenkel
2005	J	`jnl`	Tree-Based Batch Mode Reinforcement Learning. J. Mach. Learn. Res. Damien Ernst, Pierre Geurts, Louis Wehenkel
2003	—	`conf`	Iteratively Extending Time Horizon Reinforcement Learning. ECML Damien Ernst, Pierre Geurts, Louis Wehenkel
2003	—	`—`	Near Optimal Closed-Loop Control. Application to Electric Power Systems. Damien Ernst
2001	J	`jnl`	A control strategy for controllable series capacitor in electric power systems. Autom. M. Ghandhari, Göran Andersson, M. Pavella, Damien Ernst
2001	—	`conf`	Reinforcement learning applied to power system oscillations damping. CDC Damien Ernst
2000	—	`conf`	Application of Reinforcement Learning to Electrical Power System Closed-Loop Emergency Control. PKDD Christophe Druet, Damien Ernst, Louis Wehenkel