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2020 – today
- 2022
[c5]Erwan Lecarpentier, Paul Templier, Emmanuel Rachelson, Dennis G. Wilson:
LUCIE: an evaluation and selection method for stochastic problems. GECCO 2022: 730-738- 2021
- [c4]Erwan Lecarpentier, David Abel, Kavosh Asadi, Yuu Jinnai, Emmanuel Rachelson, Michael L. Littman:
Lipschitz Lifelong Reinforcement Learning. AAAI 2021: 8270-8278 - [i5]Kaitlin Maile, Erwan Lecarpentier, Hervé Luga, Dennis G. Wilson:
On Constrained Optimization in Differentiable Neural Architecture Search. CoRR abs/2106.11655 (2021) - 2020
- [b1]Erwan Lecarpentier:
Apprentissage par renforcement en environnement non stationnaire. (Reinforcement Learning in Non-Stationary Environments). Institut supérieur de l'aéronautique et de l'espace, Toulouse, France, 2020 - [i4]Erwan Lecarpentier, David Abel, Kavosh Asadi, Yuu Jinnai, Emmanuel Rachelson, Michael L. Littman:
Lipschitz Lifelong Reinforcement Learning. CoRR abs/2001.05411 (2020)
2010 – 2019
- 2019
- [c3]Erwan Lecarpentier, Emmanuel Rachelson:
Non-Stationary Markov Decision Processes, a Worst-Case Approach using Model-Based Reinforcement Learning. NeurIPS 2019: 7214-7223 - [i3]Erwan Lecarpentier, Emmanuel Rachelson:
Non-Stationary Markov Decision Processes a Worst-Case Approach using Model-Based Reinforcement Learning. CoRR abs/1904.10090 (2019) - 2018
- [c2]Erwan Lecarpentier, Guillaume Infantes, Charles Lesire, Emmanuel Rachelson:
Open Loop Execution of Tree-Search Algorithms. IJCAI 2018: 2362-2368 - [c1]Erwan Lecarpentier, Guillaume Infantes, Charles Lesire, Emmanuel Rachelson:
Open Loop Execution of Tree-Search Algorithms. JFPDA 2018 - [i2]Erwan Lecarpentier, Guillaume Infantes, Charles Lesire, Emmanuel Rachelson:
Open Loop Execution of Tree-Search Algorithms. CoRR abs/1805.01367 (2018) - 2017
- [i1]Erwan Lecarpentier, Sebastian Rapp, Marc Melo, Emmanuel Rachelson:
Empirical evaluation of a Q-Learning Algorithm for Model-free Autonomous Soaring. CoRR abs/1707.05668 (2017)
Coauthor Index
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