Emmanuel Rachelson
Emmanuel Rachelson
Verified email at isae-supaero.fr - Homepage
TitleCited byYear
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
Markov decision processes
E Zanini, S DTC
A Simulation-based Approach for Solving Generalized Semi-Markov Decision Processes.
E Rachelson, G Quesnel, F Garcia, P Fabiani
ECAI, 583-587, 2008
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
Proceedings of the 3rd International Conference on Agents and Artificial …, 2011
On the locality of action domination in sequential decision making
E Rachelson, MG Lagoudakis
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
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
A simulation-based approach for solving temporal markov problems
E Rachelson, G Quesnel, F Garcia, P Fabiani
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
Approximate policy iteration for generalized semi-Markov decision processes: an improved algorithm
E Rachelson, P Fabiani, F Garcia
Adapting an MDP planner to time-dependency: case study on a UAV coordination problem
E Rachelson, P Fabiani, F Garcia
Open Loop Execution of Tree-Search Algorithms
E Lecarpentier, G Infantes, C Lesire, E Rachelson
Twenty-Seventh International Joint Conference on Artificial Intelligence …, 2018
Temporal Markov Decision Problems: Formalization and Resolution
E Rachelson
Empirical evaluation of a Q-Learning Algorithm for Model-free Autonomous Soaring
E Lecarpentier, S Rapp, M Melo, E Rachelson
arXiv preprint arXiv:1707.05668, 2017
XMDP: un modèle de planification temporelle dans l'incertain à actions paramétriques
E Rachelson, F Teichteil-Königsbuch, F Garcia
Naive bayes classification for subset selection
L Mossina, E Rachelson
arXiv preprint arXiv:1707.06142, 2017
Approximate inference in related multi-output Gaussian Process Regression
A Chiplunkar, E Rachelson, M Colombo, J Morlier
International Conference on Pattern Recognition Applications and Methods, 88-103, 2016
Sparse physics-based Gaussian process for multi-output regression using variational inference
A Chiplunkar, E Rachelson, M Colombo, J Morlier
Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning
E Lecarpentier, E Rachelson
Advances in Neural Information Processing Systems, 7214-7223, 2019
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