Poster "regret bound analysis" Papers

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Efficient and Near-Optimal Algorithm for Contextual Dueling Bandits with Offline Regression Oracles

Aadirupa Saha, Robert Schapire

NEURIPS 2025

Lasso Bandit with Compatibility Condition on Optimal Arm

Harin Lee, Taehyun Hwang, Min-hwan Oh

ICLR 2025arXiv:2406.00823
4
citations

Learning Personalized Ad Impact via Contextual Reinforcement Learning under Delayed Rewards

Yuwei Cheng, Zifeng Zhao, Haifeng Xu

NEURIPS 2025arXiv:2510.20055

Parameter-free Algorithms for the Stochastically Extended Adversarial Model

Shuche Wang, Adarsh Barik, Peng Zhao et al.

NEURIPS 2025arXiv:2510.04685

Spectral Learning for Infinite-Horizon Average-Reward POMDPs

Alessio Russo, Alberto Maria Metelli, Marcello Restelli

NEURIPS 2025

Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback

GUOJUN XIONG, Jian Li

ICML 2024arXiv:2405.00950
1
citations