conftrace_

heavy-tailed reward

13 papers

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Co-occurring keywords

regret bound (1926) multi-armed bandit (1098) robust estimation (168) differential privacy (1016) robust mean estimation (11) heavy-tailed distribution (98) upper confidence bound (197) ucb algorithm (44) policy optimization (657) online learning (1777)

Papers

Locally Private and Robust Multi-Armed Bandits NIPS 2024
Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption AAAI 2024
Robust Offline Reinforcement Learning with Heavy-Tailed Rewards AISTATS 2024
Stochastic Graphical Bandits with Heavy-Tailed Rewards UAI 2023
Differentially Private Episodic Reinforcement Learning with Heavy-tailed Rewards ICML 2023
On Private and Robust Bandits NIPS 2023
Efficient Algorithms for Generalized Linear Bandits with Heavy-tailed Rewards NIPS 2023
Provably Robust Temporal Difference Learning for Heavy-Tailed Rewards NIPS 2023
Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds NIPS 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 NIPS 2020
Optimal Algorithms for Lipschitz Bandits with Heavy-tailed Rewards ICML 2019