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2020 – today
- 2024
[j2]Rémi Kazmierczak, Eloïse Berthier, Goran Frehse, Gianni Franchi:
CLIP-QDA: An Explainable Concept Bottleneck Model. Trans. Mach. Learn. Res. 2024 (2024)- [c4]David Brellmann, Eloïse Berthier, David Filliat, Goran Frehse:
On Double Descent in Reinforcement Learning with LSTD and Random Features. ICLR 2024 - 2023
- [i2]David Brellmann, Eloïse Berthier, David Filliat, Goran Frehse:
On Double Descent in Reinforcement Learning with LSTD and Random Features. CoRR abs/2310.05518 (2023) - [i1]Rémi Kazmierczak, Eloïse Berthier, Goran Frehse, Gianni Franchi:
CLIP-QDA: An Explainable Concept Bottleneck Model. CoRR abs/2312.00110 (2023) - 2022
- [b1]Eloïse Berthier:
Efficient Algorithms for Control and Reinforcement Learning. (Algorithmes efficaces pour le contrôle et l'apprentissage par renforcement). PSL University, France, 2022 - [c3]Eloïse Berthier, Justin Carpentier, Alessandro Rudi, Francis R. Bach:
Infinite-Dimensional Sums-of-Squares for Optimal Control. CDC 2022: 577-582 - [c2]Eloïse Berthier, Ziad Kobeissi, Francis R. Bach:
A Non-asymptotic Analysis of Non-parametric Temporal-Difference Learning. NeurIPS 2022 - 2021
- [c1]Eloïse Berthier
, Justin Carpentier, Francis R. Bach:
Fast and Robust Stability Region Estimation for Nonlinear Dynamical Systems. ECC 2021: 1412-1419 - 2020
- [j1]Eloïse Berthier, Francis R. Bach:
Max-Plus Linear Approximations for Deterministic Continuous-State Markov Decision Processes. IEEE Control. Syst. Lett. 4(3): 767-772 (2020)
Coauthor Index
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