Emmanuel Rachelson
Emmanuel Rachelson
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Cited by
Cited by
Markov decision processes
F Garcia, E Rachelson
Markov Decision Processes in Artificial Intelligence, 1-38, 2013
Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning
E Lecarpentier, E Rachelson
Advances in Neural Information Processing Systems 32, 7216-7225, 2019
Formal detection of attentional tunneling in human operator–automation interactions
N Régis, F Dehais, E Rachelson, C Thooris, S Pizziol, M Causse, ...
IEEE Transactions on Human-Machine Systems 44 (3), 326-336, 2014
On the locality of action domination in sequential decision making
E Rachelson, MG Lagoudakis
11th International Symposium on Artificial Intelligence and Mathematics, 2010
The aircraft runway scheduling problem: A survey
S Ikli, C Mancel, M Mongeau, X Olive, E Rachelson
Computers & Operations Research 132, 105336, 2021
A simulation-based approach for solving generalized semi-markov decision processes
E Rachelson, G Quesnel, F Garcia, P Fabiani
ECAI 2008, 583-587, 2008
Lipschitz lifelong reinforcement learning
E Lecarpentier, D Abel, K Asadi, Y Jinnai, E Rachelson, ML Littman
Proceedings of the AAAI Conference on Artificial Intelligence 35 (9), 8270-8278, 2020
Learning to handle parameter perturbations in combinatorial optimization: an application to facility location
A Lodi, L Mossina, E Rachelson
EURO Journal on Transportation and Logistics 9 (4), 100023, 2020
Extending the Bellman equation for MDPs to continuous actions and continuous time in the discounted case
E Rachelson, F Garcia, P Fabiani
Optimal sample selection for batch-mode reinforcement learning
E Rachelson, F Schnitzler, L Wehenkel, D Ernst
Timdppoly: An improved method for solving time-dependent mdps
E Rachelson, P Fabiani, F Garcia
2009 21st IEEE International Conference on Tools with Artificial …, 2009
Open Loop Execution of Tree-Search Algorithms
E Lecarpentier, G Infantes, C Lesire, E Rachelson
Twenty-Seventh International Joint Conference on Artificial Intelligence …, 2018
Combining mixed integer programming and supervised learning for fast re-planning
E Rachelson, AB Abbes, S Diemer
2010 22nd IEEE International Conference on Tools with Artificial …, 2010
Large batch experience replay
T Lahire, M Geist, E Rachelson
arXiv preprint arXiv:2110.01528, 2021
Look where you look! Saliency-guided Q-networks for generalization in visual Reinforcement Learning
D Bertoin, A Zouitine, M Zouitine, E Rachelson
Advances in Neural Information Processing Systems 35, 30693-30706, 2022
Local feature swapping for generalization in reinforcement learning
D Bertoin, E Rachelson
arXiv preprint arXiv:2204.06355, 2022
An optimistic planning approach for the aircraft landing problem
S Ikli, C Mancel, M Mongeau, X Olive, E Rachelson
Air Traffic Management and Systems IV: Selected Papers of the 6th ENRI …, 2021
Approximate inference in related multi-output Gaussian process regression
A Chiplunkar, E Rachelson, M Colombo, J Morlier
Pattern Recognition Applications and Methods: 5th International Conference …, 2017
Une approche du traitement du temps dans le cadre MDP: trois méthodes de découpage de la droite temporelle
E Rachelson, P Fabiani, JL Farges, F Teichteil-Königsbuch, F Garcia
Coupling Mathematical Optimization and Machine Learning for the Aircraft Landing Problem
S Ikli, C Mancel, M Mongeau, X Olive, E Rachelson
ICRAT 2020, 9th International Conference for Research in Air Transportation, 2020
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