Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs

26 October 2021

Papers citing "Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs"

5 / 5 papers shown

Title
Robust Offline Reinforcement learning with Heavy-Tailed Rewards Jin Zhu Runzhe Wan Zhengling Qi Shuang Luo C. Shi OffRL 45 0 0 28 Oct 2023
Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards Bo Xue Yimu Wang Yuanyu Wan Jinfeng Yi Lijun Zhang 41 3 0 28 Oct 2023
Towards Robust Offline Reinforcement Learning under Diverse Data Corruption Rui Yang Han Zhong Jiawei Xu Amy Zhang Chong Zhang Lei Han Tong Zhang OffRL OnRL 46 15 0 19 Oct 2023
Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds Jiayi Huang Han Zhong Liwei Wang Lin F. Yang 24 6 0 12 Jun 2023
Implicitly normalized forecaster with clipping for linear and non-linear heavy-tailed multi-armed bandits Yuriy Dorn Kornilov Nikita N. Kutuzov A. Nazin Eduard A. Gorbunov Alexander Gasnikov 31 5 0 11 May 2023