Publications

Xiaolin Sun, Zizhan Zheng (2024). Belief-Enriched Pessimistic Q-Learning against Adversarial State Perturbations. The Twelfth International Conference on Learning Representations (ICLR 2024).

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Xiaolin Sun, Zizhan Zheng (2023). Robust Q-Learning against State Perturbations: a Belief-Enriched Pessimistic Approach. Multi-Agent Security Workshop @ NeurIPS'23.

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Xiaolin Sun, Jacob Masur, Ben Abramowitz, Nicholas Mattei, Zizhan Zheng (2023). Pandering in a (flexible) representative democracy. Uncertainty in Artificial Intelligence (UAI).

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Xiaolin Sun, Jacob Masur, Ben Abramowitz, Nicholas Mattei, Zizhan Zheng (2023). Does Delegating Votes Protect Against Pandering Candidates?. Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems (AAMAS) (Extended Abstract).

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Henger Li, Xiaolin Sun, Zizhan Zheng (2022). Learning to attack federated learning: A model-based reinforcement learning attack framework. Advances in Neural Information Processing Systems (NeurIPS).

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Ruchit Shrestha, Xiaolin Sun, Aaron Gember-Jacobson (2019). Localizing Router Configuration Errors Using Unsatisfiable Cores. USENIX Symposium on Networked Systems Design and Implementation (NSDI).

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