heavy-tailed reward

Catoni Contextual Bandits are Robust to Heavy-tailed Rewards ICML 2025 Log-Sum-Exponential Estimator for Off-Policy Evaluation and Learning ICML 2025 Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption AAAI 2024 Locally Private and Robust Multi-Armed Bandits NeurIPS 2024 Low-rank Matrix Bandits with Heavy-tailed Rewards UAI 2024 Robust Offline Reinforcement Learning with Heavy-Tailed Rewards AISTATS 2024 Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards ICML 2023 Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards NeurIPS 2023 On Private and Robust Bandits NeurIPS 2023 Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards NeurIPS 2023 Stochastic Graphical Bandits with Heavy-Tailed Rewards UAI 2023 Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds NeurIPS 2023 Optimal Rates of (Locally) Differentially Private Heavy-tailed Multi-Armed Bandits AISTATS 2022 No-Regret Reinforcement Learning with Heavy-Tailed Rewards AISTATS 2021 Optimal Algorithms for Stochastic Multi-Armed Bandits with Heavy Tailed Rewards NeurIPS 2020 Optimal Algorithms for Lipschitz Bandits with Heavy-tailed Rewards ICML 2019