Marc Abeille

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 22

Top Topics

Multi Armed Bandit

Linear Quadratic

Control Problems

Top Venues

Publications

Lorenzo Croissant, Marc Abeille, Bruno Bouchard
Near-continuous time Reinforcement Learning for continuous state-action spaces. ALT (2024)
Marc Abeille, Bruno Bouchard, Lorenzo Croissant
Diffusive Limit Approximation of Pure-Jump Optimal Stochastic Control Problems. J. Optim. Theory Appl. 196 (1) (2023)
Lorenzo Croissant, Marc Abeille, Bruno Bouchard
Near-continuous time Reinforcement Learning for continuous state-action spaces. CoRR (2023)
Louis Faury, Marc Abeille, Kwang-Sung Jun, Clément Calauzènes
Jointly Efficient and Optimal Algorithms for Logistic Bandits. CoRR (2022)
Louis Faury, Marc Abeille, Kwang-Sung Jun, Clément Calauzènes
Jointly Efficient and Optimal Algorithms for Logistic Bandits. AISTATS (2022)
Marc Abeille, Louis Faury, Clément Calauzènes
Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits. AISTATS (2021)
Louis Faury, Yoan Russac, Marc Abeille, Clément Calauzènes
A Technical Note on Non-Stationary Parametric Bandits: Existing Mistakes and Preliminary Solutions. ALT (2021)
Louis Faury, Yoan Russac, Marc Abeille, Clément Calauzènes
Regret Bounds for Generalized Linear Bandits under Parameter Drift. CoRR (2021)
Marc Abeille, Alessandro Lazaric
Efficient Optimistic Exploration in Linear-Quadratic Regulators via Lagrangian Relaxation. ICML (2020)
Louis Faury, Marc Abeille, Clément Calauzènes, Olivier Fercoq
Improved Optimistic Algorithms for Logistic Bandits. CoRR (2020)
Lorenzo Croissant, Marc Abeille, Clément Calauzènes
Real-Time Optimisation for Online Learning in Auctions. ICML (2020)
Marc Abeille, Alessandro Lazaric
Efficient Optimistic Exploration in Linear-Quadratic Regulators via Lagrangian Relaxation. CoRR (2020)
Louis Faury, Marc Abeille, Clément Calauzènes, Olivier Fercoq
Improved Optimistic Algorithms for Logistic Bandits. ICML (2020)
Marc Abeille, Louis Faury, Clément Calauzènes
Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits. CoRR (2020)
Lorenzo Croissant, Marc Abeille, Clément Calauzènes
Real-Time Optimisation for Online Learning in Auctions. CoRR (2020)
Young Hun Jung, Marc Abeille, Ambuj Tewari
Thompson Sampling in Non-Episodic Restless Bandits. CoRR (2019)
Marc Abeille, Alessandro Lazaric
Improved Regret Bounds for Thompson Sampling in Linear Quadratic Control Problems. ICML (2018)
Marc Abeille, Clément Calauzènes, Noureddine El Karoui, Thomas Nedelec, Vianney Perchet
Explicit shading strategies for repeated truthful auctions. CoRR (2018)
Thomas Nedelec, Marc Abeille, Clément Calauzènes, Noureddine El Karoui, Benjamin Heymann, Vianney Perchet
Thresholding the virtual value: a simple method to increase welfare and lower reserve prices in online auction systems. CoRR (2018)
Marc Abeille, Alessandro Lazaric
Linear Thompson Sampling Revisited. AISTATS (2017)
Marc Abeille, Alessandro Lazaric
Thompson Sampling for Linear-Quadratic Control Problems. AISTATS (2017)
Marc Abeille, Alessandro Lazaric
Linear Thompson Sampling Revisited. CoRR (2016)