Victor Gabillon

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 14

Top Topics

Policy Iteration

Neural Architecture

Planning Process

Top Venues

Publications

Vasco Lopes, Fabio Maria Carlucci, Pedro M. Esperança, Marco Singh, Antoine Yang, Victor Gabillon, Hang Xu, Zewei Chen, Jun Wang
Manas: multi-agent neural architecture search. Mach. Learn. 113 (1) (2024)
John Cosmas, Kareem Ali, Ali Mahbas, Prince Kwaku Boakye, John Miguel, Victor Gabillon, Alexandre Kazmierowski, Lewis Sear
Design of Scalable Population of Reinforcement Learning Agents for Autonomous 5G Radio Link Control. WCNC (2024)
Haitham Ammar, Victor Gabillon, Rasul Tutunov, Michal Valko
Derivative-Free & Order-Robust Optimisation. AISTATS (2020)
Côme Fiegel, Victor Gabillon, Michal Valko
Adaptive multi-fidelity optimization with fast learning rates. AISTATS (2020)
Peter L. Bartlett, Victor Gabillon, Jennifer Healey, Michal Valko
Scale-free adaptive planning for deterministic dynamics & discounted rewards. ICML (2019)
Peter L. Bartlett, Victor Gabillon, Michal Valko
A simple parameter-free and adaptive approach to optimization under a minimal local smoothness assumption. ALT (2019)
Victor Gabillon, Rasul Tutunov, Michal Valko, Haitham Bou-Ammar
Derivative-Free & Order-Robust Optimisation. CoRR (2019)
Fabio Maria Carlucci, Pedro M. Esperança, Marco Singh, Victor Gabillon, Antoine Yang, Hang Xu, Zewei Chen, Jun Wang
MANAS: Multi-Agent Neural Architecture Search. CoRR (2019)
Peter L. Bartlett, Victor Gabillon, Michal Valko
A simple parameter-free and adaptive approach to optimization under a minimal local smoothness assumption. CoRR (2018)
Yasin Abbasi-Yadkori, Peter L. Bartlett, Victor Gabillon, Alan Malek, Michal Valko
Best of both worlds: Stochastic & adversarial best-arm identification. COLT (2018)
Yasin Abbasi-Yadkori, Peter L. Bartlett, Victor Gabillon
Near Minimax Optimal Players for the Finite-Time 3-Expert Prediction Problem. NIPS (2017)
Yasin Abbasi-Yadkori, Peter L. Bartlett, Victor Gabillon, Alan Malek
Hit-and-Run for Sampling and Planning in Non-Convex Spaces. AISTATS (2017)
Yasin Abbasi-Yadkori, Peter L. Bartlett, Victor Gabillon, Alan Malek
Hit-and-Run for Sampling and Planning in Non-Convex Spaces. CoRR (2016)
Victor Gabillon, Alessandro Lazaric, Mohammad Ghavamzadeh, Ronald Ortner, Peter L. Bartlett
Improved Learning Complexity in Combinatorial Pure Exploration Bandits. AISTATS (2016)
Bruno Scherrer, Mohammad Ghavamzadeh, Victor Gabillon, Boris Lesner, Matthieu Geist
Approximate modified policy iteration and its application to the game of Tetris. J. Mach. Learn. Res. 16 (2015)
Victor Gabillon, Branislav Kveton, Zheng Wen, Brian Eriksson, S. Muthukrishnan
Large-Scale Optimistic Adaptive Submodularity. AAAI (2014)
Victor Gabillon, Mohammad Ghavamzadeh, Bruno Scherrer
Approximate Dynamic Programming Finally Performs Well in the Game of Tetris. NIPS (2013)
Victor Gabillon, Branislav Kveton, Zheng Wen, Brian Eriksson, S. Muthukrishnan
Adaptive Submodular Maximization in Bandit Setting. NIPS (2013)
Bruno Scherrer, Victor Gabillon, Mohammad Ghavamzadeh, Matthieu Geist
Approximate Modified Policy Iteration. ICML (2012)
Victor Gabillon, Mohammad Ghavamzadeh, Alessandro Lazaric
Best Arm Identification: A Unified Approach to Fixed Budget and Fixed Confidence. NIPS (2012)
Bruno Scherrer, Victor Gabillon, Mohammad Ghavamzadeh, Matthieu Geist
Approximate Modified Policy Iteration CoRR (2012)
Victor Gabillon, Alessandro Lazaric, Mohammad Ghavamzadeh, Bruno Scherrer
Classification-based Policy Iteration with a Critic. ICML (2011)
Victor Gabillon, Mohammad Ghavamzadeh, Alessandro Lazaric, Sébastien Bubeck
Multi-Bandit Best Arm Identification. NIPS (2011)
Victor Gabillon, Jérémie Mary, Philippe Preux
Affichage de publicités sur des portails web. EGC (2010)
Jean Pierre Delmas, Victor Gabillon
Asymptotic performance analysis of PCA algorithms based on the weighted subspace criterion. ICASSP (2009)