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ORCIDDamien Ernst
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Publications
- 2020
[c52]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: 5055-5059- [i24]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 abs/2011.07514 (2020) - 2019
- [j24]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: 1-30 (2019) - 2018
- [i22]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 abs/1812.02809 (2018) - [i21]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 abs/1812.02827 (2018) - 2017
- [c49]Michael Castronovo, Vincent François-Lavet, Raphaël Fonteneau, Damien Ernst, Adrien Couëtoux:
Approximate Bayes Optimal Policy Search using Neural Networks. ICAART (2) 2017: 142-153 - [c48]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: 322-327 - [i17]Vincent François-Lavet, Damien Ernst, Raphael Fonteneau:
On overfitting and asymptotic bias in batch reinforcement learning with partial observability. CoRR abs/1709.07796 (2017) - 2016
- [c47]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: 264-271 - [c45]Quentin Gemine, Bertrand Cornélusse, Mevludin Glavic, Raphaël Fonteneau, Damien Ernst:
A Gaussian mixture approach to model stochastic processes in power systems. PSCC 2016: 1-7 - 2015
- [j18]Firas Safadi, Raphaël Fonteneau, Damien Ernst:
Artificial Intelligence in Video Games: Towards a Unified Framework. Int. J. Comput. Games Technol. 2015: 271296:1-271296:30 (2015) - [c43]Samy Aittahar, Vincent François-Lavet, Stefan Lodeweyckx, Damien Ernst, Raphaël Fonteneau:
Imitative Learning for Online Planning in Microgrids. DARE 2015: 1-15 - [i16]Michael Castronovo, Damien Ernst, Adrien Couëtoux, Raphaël Fonteneau:
Benchmarking for Bayesian Reinforcement Learning. CoRR abs/1509.04064 (2015) - [i15]Vincent François-Lavet, Raphaël Fonteneau, Damien Ernst:
How to Discount Deep Reinforcement Learning: Towards New Dynamic Strategies. CoRR abs/1512.02011 (2015) - 2014
- [c42]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: 1-8 - [c41]Raphael Fonteneau, Damien Ernst, Bernard Boigelot, Quentin Louveaux:
Lipschitz robust control from off-policy trajectories. CDC 2014: 4924-4931 - 2013
- [j16]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): 383-416 (2013) - [j12]Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst:
Stratégies d'échantillonnage pour l'apprentissage par renforcement batch. Rev. d'Intelligence Artif. 27(2): 171-194 (2013) - [j11]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): 3355-3385 (2013) - 2012
- [c31]Quentin Gemine, Firas Safadi, Raphael Fonteneau, Damien Ernst:
Imitative learning for real-time strategy games. CIG 2012: 424-429 - [c30]Francis Maes, Raphael Fonteneau, Louis Wehenkel, Damien Ernst:
Policy Search in a Space of Simple Closed-form Formulas: Towards Interpretability of Reinforcement Learning. Discovery Science 2012: 37-51 - [c29]Michael Castronovo, Francis Maes, Raphael Fonteneau, Damien Ernst:
Learning Exploration/Exploitation Strategies for Single Trajectory Reinforcement Learning. EWRL 2012: 1-10 - [i7]Raphael Fonteneau, Damien Ernst, Bernard Boigelot, Quentin Louveaux:
Min Max Generalization for Deterministic Batch Mode Reinforcement Learning: Relaxation Schemes. CoRR abs/1202.5298 (2012) - 2011
- [j8]Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst:
Estimation Monte Carlo sans modèle de politiques de décision. Rev. d'Intelligence Artif. 25(3): 321-343 (2011) - [c24]Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst:
Active exploration by searching for experiments that falsify the computed control policy. ADPRL 2011: 40-47 - 2010
- [c18]Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst:
Towards Min Max Generalization in Reinforcement Learning. ICAART (Revised Selected Papers) 2010: 61-77 - [c17]Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst:
A Cautious Approach to Generalization in Reinforcement Learning. ICAART (1) 2010: 64-73 - [c15]Raphael Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst:
Model-Free Monte Carlo-like Policy Evaluation. AISTATS 2010: 217-224 - 2009
- [c14]Raphaël Fonteneau, Susan A. Murphy, Louis Wehenkel, Damien Ernst:
Inferring bounds on the performance of a control policy from a sample of trajectories. ADPRL 2009: 117-123
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