14 citations
- Centre de Recherche en Informatique, Signal et Automatique de LilleFR11 papers
- Université de LilleFR11 papers
- Centre de Recherche en InformatiqueFR9 papers
- Centre National de la Recherche ScientifiqueFR5 papers
- Centre Inria de l'Université de LilleFR2 papers
- École Centrale de LilleFR2 papers
- Institut national de recherche en sciences et technologies du numériqueFR2 papers
- Laboratoire d'Informatique, de Robotique et de Microélectronique de MontpellierFR2 papers
- Brno University of TechnologyCZ1 paper
- CentraleSupélecFR1 paper
- Centrum Wiskunde & InformaticaNL1 paper
- College of Western IdahoUS1 paper
14 papers
How Hard is it to Confuse a World Model?
Waris Radji, Odalric-Ambrym Maillard
In reinforcement learning (RL) theory, the concept of most confusing instances is central to establishing regret lower bounds, that is, the minimal exploration needed to solve a pr…
The Confusing Instance Principle for Online Linear Quadratic Control
Waris Radji, Odalric-Ambrym Maillard
We revisit the problem of controlling linear systems with quadratic cost under unknown dynamics with model-based reinforcement learning. Traditional methods like Optimism in the Fa…
Bridging Econometrics and AI: VaR Estimation via Reinforcement Learning and GARCH Models
Fredy Pokou, Jules Sadefo Kamdem, François Benhmad
In an environment of increasingly volatile financial markets, the accurate estimation of risk remains a major challenge. Traditional econometric models, such as GARCH and its varia…
Denoising bivariate signals via smoothing and polarization priors
Yusuf Yigit Pilavci, Jérémie Boulanger, Pierre-Antoine Thouvenin +1
We propose two formulations to leverage the geometric properties of bivariate signals for dealing with the denoising problem. In doing so, we use the instantaneous Stokes parameter…
A Bandit Approach with Evolutionary Operators for Model Selection
Margaux Brégère, Julie Keisler
This work formulates model selection as an infinite-armed bandit problem, namely, a problem in which a decision maker iteratively selects one of an infinite number of fixed choices…
Interactive, Iterative, Tooled, Rule-Based Migration of Microsoft Access to Web Technologies
Santiago Bragagnolo, Nicolas Anquetil, Stéphane Ducasse +2
In the context of a collaboration with Berger-Levrault, an IT company producing information systems, we are working on migrating Microsoft Access monolithic applications to the web…