Yinglun Xu

According to our database, Yinglun Xu authored at least 10 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Learning a Pessimistic Reward Model in RLHF.

Yinglun Xu, Hangoo Kang, Tarun Suresh, Yuxuan Wan, Gagandeep Singh

CoRR, May, 2025

Improving Assembly Code Performance with Large Language Models via Reinforcement Learning.

Anjiang Wei, Tarun Suresh, Huanmi Tan, Yinglun Xu, Gagandeep Singh, Ke Wang, Alex Aiken

CoRR, May, 2025

2024

Robust Thompson Sampling Algorithms Against Reward Poisoning Attacks.

Yinglun Xu, Zhiwei Wang, Gagandeep Singh

CoRR, 2024

Optimal Reward Labeling: Bridging Offline Preference and Reward-Based Reinforcement Learning.

Yinglun Xu, David Zhu, Rohan Gumaste, Gagandeep Singh

CoRR, 2024

Reward Poisoning Attack Against Offline Reinforcement Learning.

Yinglun Xu, Rohan Gumaste, Gagandeep Singh

CoRR, 2024

Efficient Two-Phase Offline Deep Reinforcement Learning from Preference Feedback.

Yinglun Xu, Gagandeep Singh

CoRR, 2024

2023

Efficient Reward Poisoning Attacks on Online Deep Reinforcement Learning.

Yinglun Xu, Qi Zeng, Gagandeep Singh

Trans. Mach. Learn. Res., 2023

On the Robustness of Epoch-Greedy in Multi-Agent Contextual Bandit Mechanisms.

Yinglun Xu, Bhuvesh Kumar, Jacob D. Abernethy

CoRR, 2023

Black-Box Targeted Reward Poisoning Attack Against Online Deep Reinforcement Learning.

Yinglun Xu, Gagandeep Singh

CoRR, 2023

2021

Observation-Free Attacks on Stochastic Bandits.

Yinglun Xu, Bhuvesh Kumar, Jacob D. Abernethy

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021