University of California, Los Angeles; Center for Data Science, Peking University; National Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University
Jiayi Huang, Han Zhong, Liwei Wang, Lin Yang
machine learning;reinforcement learning;linear bandits;heavy-tailed rewards;instance-dependent regret
Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds