Raphaël Fonteneau
Orcid: 0000-0002-7850-1548Affiliations:
- University of Liège, Montefiore Institute
According to our database1,
Raphaël Fonteneau
authored at least 32 papers
between 2009 and 2020.
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Bibliography
2020
Assessing the Economic Value of Renewable Resource Complementarity for Power Systems: an ENTSO-E Study.
CoRR, 2020
On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract).
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
2019
On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability.
J. Artif. Intell. Res., 2019
2018
Complementarity Assessment of South Greenland Katabatic Flows and West Europe Wind Regimes.
CoRR, 2018
2017
On overfitting and asymptotic bias in batch reinforcement learning with partial observability.
CoRR, 2017
An App-based Algorithmic Approach for Harvesting Local and Renewable Energy using Electric Vehicles.
Proceedings of the 9th International Conference on Agents and Artificial Intelligence, 2017
Proceedings of the 9th International Conference on Agents and Artificial Intelligence, 2017
2016
Proceedings of the Power Systems Computation Conference, 2016
Decision Making from Confidence Measurement on the Reward Growth using Supervised Learning - A Study Intended for Large-scale Video Games.
Proceedings of the 8th International Conference on Agents and Artificial Intelligence (ICAART 2016), 2016
2015
Int. J. Comput. Games Technol., 2015
CoRR, 2015
Proceedings of the Data Analytics for Renewable Energy Integration, 2015
2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Proceedings of the 53rd IEEE Conference on Decision and Control, 2014
Using approximate dynamic programming for estimating the revenues of a hydrogen-based high-capacity storage device.
Proceedings of the 2014 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2014
2013
Min Max Generalization for Deterministic Batch Mode Reinforcement Learning: Relaxation Schemes.
SIAM J. Control. Optim., 2013
Rev. d'Intelligence Artif., 2013
Ann. Oper. Res., 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the 2013 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2013
2012
Learning Exploration/Exploitation Strategies for Single Trajectory Reinforcement Learning.
Proceedings of the Tenth European Workshop on Reinforcement Learning, 2012
Policy Search in a Space of Simple Closed-form Formulas: Towards Interpretability of Reinforcement Learning.
Proceedings of the Discovery Science - 15th International Conference, 2012
Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games, 2012
2011
Rev. d'Intelligence Artif., 2011
Active exploration by searching for experiments that falsify the computed control policy.
Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011
2010
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010
Proceedings of the Agents and Artificial Intelligence - Second International Conference, 2010
A Cautious Approach to Generalization in Reinforcement Learning.
Proceedings of the ICAART 2010 - Proceedings of the International Conference on Agents and Artificial Intelligence, Volume 1, 2010
2009
Inferring bounds on the performance of a control policy from a sample of trajectories.
Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009