Vincent Franois-Lavet
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
10
Venues
7
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
10 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AIME | AnchorNet: A Clinically Grounded Causal Model for Personalized Medicine. | Louk van Remmerden, Mark Hoogendoorn, Vincent Franois-Lavet, Shujian Yu, Hein van Hout |
| 2023 | AAAI | A Machine with Short-Term, Episodic, and Semantic Memory Systems. | Taewoon Kim, Michael Cochez, Vincent Franois-Lavet, Mark A. Neerincx, Piek Vossen |
| 2022 | IJCAI | Reinforcement Learning with Option Machines. | Floris den Hengst, Vincent Franois-Lavet, Mark Hoogendoorn, Frank van Harmelen |
| 2021 | AI | Understanding Capacity Saturation in Incremental Learning. | Shenyang Huang, Vincent Franois-Lavet, Guillaume Rabusseau |
| 2020 | IJCAI | On Overfitting and Asymptotic Bias in Batch Reinforcement Learning with Partial Observability (Extended Abstract). | Vincent Franois-Lavet, Guillaume Rabusseau, Joelle Pineau, Damien Ernst, Raphael Fonteneau |
| 2020 | IJCAI | Handling Black Swan Events in Deep Learning with Diversely Extrapolated Neural Networks. | Maxime Wabartha, Audrey Durand, Vincent Franois-Lavet, Joelle Pineau |
| 2019 | AAAI | Combined Reinforcement Learning via Abstract Representations. | Vincent Franois-Lavet, Yoshua Bengio, Doina Precup, Joelle Pineau |
| 2018 | CoRL | Reward Estimation for Variance Reduction in Deep Reinforcement Learning. | Joshua Romoff, Peter Henderson, Alexandre Pich, Vincent Franois-Lavet, Joelle Pineau |
| 2018 | ICLR | Reward Estimation for Variance Reduction in Deep Reinforcement Learning. | Joshua Romoff, Alexandre Pich, Peter Henderson, Vincent Franois-Lavet, Joelle Pineau |
| 2017 | ICAART | Approximate Bayes Optimal Policy Search using Neural Networks. | Michael Castronovo, Vincent Franois-Lavet, Raphal Fonteneau, Damien Ernst, Adrien Coutoux |