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)

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)

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

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

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

Contributions to Batch Mode Reinforcement Learning. - Raphaël Fonteneau (2011)

Imitative learning for real-time strategy games. - Quentin Gemine; Firas Safadi; Raphael Fonteneau; 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)

Optimistic planning for belief-augmented Markov Decision Processes. - Raphaël Fonteneau; Lucian Busoniu; Rémi Munos (ADPRL, 2013)

Aggregating Optimistic Planning Trees for Solving Markov Decision Processes. - Gunnar Kedenburg; Raphaël Fonteneau; Rémi Munos (NIPS, 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)

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)

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)

Simultaneous perturbation algorithms for batch off-policy search. - Raphael Fonteneau; Prashanth L. A. (CDC, 2014)

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

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

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

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

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)

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)

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)

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)