Odalric-Ambrym Maillard
Scholar

Odalric-Ambrym Maillard

Google Scholar ID: 7EweMdoAAAAJ
Inria Lille - Nord Europe
Multi-armed BanditsStochastic Dynamical SystemsStatistical LearningReinforcement LearningRandom matrices
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Citations & Impact
All-time
Citations
2,204
 
H-index
25
 
i10-index
54
 
Publications
20
 
Co-authors
11
list available
Contact
No contact links provided.
Publications
10 items
How Hard is it to Confuse a World Model?
2025
Cited
0
The Confusing Instance Principle for Online Linear Quadratic Control
2025
Cited
0
Asymptotically Optimal Problem-Dependent Bandit Policies for Transfer Learning
2025
Cited
0
Offline Goal-Conditioned Reinforcement Learning with Projective Quasimetric Planning
2025
Cited
0
A Continual Offline Reinforcement Learning Benchmark for Navigation Tasks
2025
Cited
0
Leveraging priors on distribution functions for multi-arm bandits
2025
Cited
0
The regret lower bound for communicating Markov Decision Processes
2025
Cited
0
Kriging and Gaussian Process Interpolation for Georeferenced Data Augmentation
2025
Cited
0
Resume (English only)
Co-authors
11 total
Rémi Munos
Rémi Munos
FAIR, Meta
Philippe Preux
Philippe Preux
Professor of computer science, Université de Lille, LIFL, SequeL, INRIA
Shie Mannor
Shie Mannor
Professor of Electrical Engineering @ Technion & Researcher @ Nvidia
Olivier Cappé
Olivier Cappé
CNRS
Co-author 5
Co-author 5
Alessandro Lazaric
Alessandro Lazaric
Research Scientist, Facebook Artificial Intelligence Research
Rémi Bardenet
Rémi Bardenet
CNRS, CRIStAL, Ecole Centrale Lille, Univ. Lille, France
Co-author 8
Co-author 8