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- Damien Ernst
University of Liège, Belgium
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Publication search results
found 164 matches
- 2024
- Gaspard Lambrechts, Adrien Bolland, Damien Ernst:
Informed POMDP: Leveraging Additional Information in Model-Based RL. RLJ 2: 763-784 (2024) - Milad Rahimipour Behbahani, Alireza Jalilian, Alireza Bahmanyar, Damien Ernst:
Comprehensive Review on Static and Dynamic Distribution Network Reconfiguration Methodologies. IEEE Access 12: 9510-9525 (2024) - Florent De Geeter, Damien Ernst, Guillaume Drion:
Spike-based computation using classical recurrent neural networks. Neuromorph. Comput. Eng. 4(2): 24007 (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): 227-256 (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): 394-404 (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 abs/2401.16321 (2024) - Adrien Bolland, Gaspard Lambrechts, Damien Ernst:
Behind the Myth of Exploration in Policy Gradients. CoRR abs/2402.00162 (2024) - Arthur Louette, Gaspard Lambrechts, Damien Ernst, Eric Pirard, Godefroid Dislaire:
Reinforcement Learning to improve delta robot throws for sorting scrap metal. CoRR abs/2406.13453 (2024) - Gaspard Lambrechts, Yann Claes, Pierre Geurts, Damien Ernst:
Parallelizing Autoregressive Generation with Variational State Space Models. CoRR abs/2407.08415 (2024) - Matthias Pirlet, Adrien Bolland, Gilles Louppe, Damien Ernst:
Costs Estimation in Unit Commitment Problems using Simulation-Based Inference. CoRR abs/2409.03588 (2024) - Maurizio Vassallo, Adrien Leerschool, Alireza Bahmanyar, Laurine Duchesne, Simon Gerard, Thomas Wehenkel, Damien Ernst:
An Optimization Algorithm for Customer Topological Paths Identification in Electrical Distribution Networks. CoRR abs/2409.09073 (2024) - Maurizio Vassallo, Amina Benzerga, Alireza Bahmanyar, Damien Ernst:
Fair Reinforcement Learning Algorithm for PV Active Control in LV Distribution Networks. CoRR abs/2409.09074 (2024) - Maurizio Vassallo, Alireza Bahmanyar, Laurine Duchesne, Adrien Leerschool, Simon Gerard, Thomas Wehenkel, Damien Ernst:
A Systematic Procedure for Topological Path Identification with Raw Data Transformation in Electrical Distribution Networks. CoRR abs/2409.09075 (2024) - Adrien Bolland, Gaspard Lambrechts, Damien Ernst:
Off-Policy Maximum Entropy RL with Future State and Action Visitation Measures. CoRR abs/2412.06655 (2024) - 2023
- Thibaut Théate, Damien Ernst:
Risk-Sensitive Policy with Distributional Reinforcement Learning. Algorithms 16(7): 325 (2023) - Thibaut Théate, Antoine Wehenkel, Adrien Bolland, Gilles Louppe, Damien Ernst:
Distributional reinforcement learning with unconstrained monotonic neural networks. Neurocomputing 534: 199-219 (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: 645-669 (2023) - Seya Colloud, Thomas Metcalfe, Scott Askin, Shibeshih Mitiku Belachew, Johannes Ammann, Ernst Bos, Timothy Kilchenmann, Paul Strijbos, Damien Eggenspieler, Laurent Servais, Chloé Garay, Athanasios Konstantakopoulos, Armin Ritzhaupt, Thorsten Vetter, Claudia Vincenzi, Francesca Cerreta:
Evolving regulatory perspectives on digital health technologies for medicinal product development. npj Digit. Medicine 6 (2023) - Adrien Bolland, Gilles Louppe, Damien Ernst:
Policy Gradient Algorithms Implicitly Optimize by Continuation. Trans. Mach. Learn. Res. 2023 (2023) - Jasmina S. Ernst, Sascha Marton, Jannik Brinkmann, Eduardo Vellasques, Damien Foucard, Martin Kraemer, Marian Lambert:
Bias Mitigation for Large Language Models using Adversarial Learning. AEQUITAS@ECAI 2023 - Antoine Dubois, Damien Ernst:
Impacts of spatial and temporal resolutions on the near-optimal spaces of energy system optimisation models. ISGT EUROPE 2023: 1-5 - 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 - Antoine Dubois, Jonathan Dumas, Paolo Thiran, Gauthier Limpens, Damien Ernst:
Multi-objective near-optimal necessary conditions for multi-sectoral planning. CoRR abs/2302.12654 (2023) - Adrien Bolland, Gilles Louppe, Damien Ernst:
Policy Gradient Algorithms Implicitly Optimize by Continuation. CoRR abs/2305.06851 (2023) - Florent De Geeter, Damien Ernst, Guillaume Drion:
Spike-based computation using classical recurrent neural networks. CoRR abs/2306.03623 (2023) - Gaspard Lambrechts, Adrien Bolland, Damien Ernst:
Informed POMDP: Leveraging Additional Information in Model-Based RL. CoRR abs/2306.11488 (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 abs/2306.11551 (2023) - 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: 77571-77586 (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: 117-171 (2022) - Bardhyl Miftari, Mathias Berger, Hatim Djelassi, Damien Ernst:
GBOML: Graph-Based Optimization Modeling Language. J. Open Source Softw. 7(72): 4158 (2022)
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