Author

Jinhang Zuo

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#artificial intelligence Review Oct 2026

Beyond Reward Suppression: Near-Optimal Offline Attacks on Warm-Start Bandits with Bounded Rewards

Adversarial attacks on bandits aim to mislead a learner toward a target arm while keeping the attack cost small. Existing attacks typically achieve this by suppressing non-target arms. In practice, however, manipulation such as fake reviews often directly promotes the target item. We study this gap through bounded offl...

Qi-Run Zeng, Man-Hin Poon, Xiang-Xiang Dai et al. · 0 citations

Jul 2026

A Unified Algorithmic Framework for Hybrid Reinforcement Learning in Tabular MDPs with Shifted Transition Dynamics

A unified algorithmic framework featuring two algorithms: MIN-UCB-VI for regret minimization and MAX-LCB-VI for best policy identification for best policy identification is proposed, including both instance-dependent and independent upper bounds on regret and sub-optimality gap.

Zhe-Shun Wu, Renjie Zheng, Jinhang Zuo et al. · arXiv.org · 1 citation

Book Open access Aug 2026

One Rounding Fits All: Memory-Efficient Approximation Algorithms for Partition-Constrained Influence Maximization

RBwA, a memory-efficient and sample-efficient progressive sampling algorithm for IM-PC and a memory-efficient rounding scheme called BwARound for coverage maximization subroutines, which only requires storing one fractional vector and takes maximal feasible steps rather than tiny ε-increments, are proposed.

Qixin Zhang, Qirun Zeng, Hui Lu et al. · Proceedings of the 32nd ACM... · 0 citations