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05/27/2023
No-Regret Online Reinforcement Learning with Adversarial Losses and Transitions
Existing online learning algorithms for adversarial Markov Decision Proc...
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02/27/2023
Improved Best-of-Both-Worlds Guarantees for Multi-Armed Bandits: FTRL with General Regularizers and Multiple Optimal Arms
We study the problem of designing adaptive multi-armed bandit algorithms...
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06/08/2021
Cooperative Stochastic Multi-agent Multi-armed Bandits Robust to Adversarial Corruptions
We study the problem of stochastic bandits with adversarial corruptions ...
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09/27/2019
Robust Factor Analysis Parameter Estimation
This paper considers the problem of robustly estimating the parameters o...
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09/19/2018