Menard, Pierre

1. UCB Momentum Q-learning: Correcting the bias without forgetting
   2021/03/01 by Pierre Ménard, Omar Darwiche Domingues, Menard, Pierre +4 · 5 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
2. Thresholding Bandit for Dose-ranging: The Impact of Monotonicity
   2017/11/13 by Garivier, Aurélien, Ménard, Pierre, Rossi, Laurent +1 · 3 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Statistics Theory (math.ST)
3. KL-UCB-switch: optimal regret bounds for stochastic bandits from both a distribution-dependent and a distribution-free viewpoints
   2018/05/14 by Garivier, Aurélien, Hadiji, Hédi, Menard, Pierre +1 · 2 citations
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Statistics Theory (math.ST)
4. Optimistic Posterior Sampling for Reinforcement Learning with Few Samples and Tight Guarantees
   2022/09/28 by Daniil Tiapkin, Tiapkin, Daniil, Denis Belomestny +15 · 2 citations
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Age of Information Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
5. Demonstration-Regularized RL
   2023/10/26 by Daniil Tiapkin, Tiapkin, Daniil, Denis Belomestny +13 · 3 citations
   Computer Science · #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics
6. Fast Rates for Maximum Entropy Exploration
   2023/03/14 by Tiapkin, Daniil, Belomestny, Denis, Calandriello, Daniele +7 · 2 citations
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
7. The Influence of Shape Constraints on the Thresholding Bandit Problem
   2020/06/17 by Cheshire, James, Menard, Pierre, Carpentier, Alexandra · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
8. From Dirichlet to Rubin: Optimistic Exploration in RL without Bonuses
   2022/05/16 by Daniil Tiapkin, Denis Belomestny, Tiapkin, Daniil +13 · 1 citation
   Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
9. Sharp Deviations Bounds for Dirichlet Weighted Sums with Application to analysis of Bayesian algorithms
   2023/04/06 by Belomestny, Denis, Menard, Pierre, Naumov, Alexey +2 · 1 citation
   #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Probability (math.PR) #Statistics Theory (math.ST)
10. Model-free Posterior Sampling via Learning Rate Randomization
    2023/10/27 by Daniil Tiapkin, Tiapkin, Daniil, Denis Belomestny +15 · 1 citation
    Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics