Safely Bridging Offline and Online Reinforcement Learning. - Wanqiao Xu; Kan Xu; Hamsa Bastani; Osbert Bastani (CoRR, 2021)

Regret Bounds for Risk-Sensitive Reinforcement Learning. - Osbert Bastani; Yecheng Jason Ma; Estelle Shen; Wanqiao Xu (NeurIPS, 2022)

Uniformly Conservative Exploration in Reinforcement Learning. - Wanqiao Xu; Yecheng Jason Ma; Kan Xu; Hamsa Bastani; Osbert Bastani (AISTATS, 2023)

Shattering the Agent-Environment Interface for Fine-Tuning Inclusive Language Models. - Wanqiao Xu; Shi Dong 003; Dilip Arumugam; Benjamin Van Roy (CoRR, 2023)

RLHF and IIA: Perverse Incentives. - Wanqiao Xu; Shi Dong 003; Xiuyuan Lu; Grace Lam; Zheng Wen 002; Benjamin Van Roy (CoRR, 2023)

Pearl: A Production-ready Reinforcement Learning Agent. - Zheqing Zhu; Rodrigo de Salvo Braz; Jalaj Bhandari; Daniel Jiang; Yi Wan; Yonathan Efroni; Liyuan Wang; Ruiyang Xu; Hongbo Guo; Alex Nikulkov; Dmytro Korenkevych; Ürün Dogan; et al. (CoRR, 2023)

Posterior Sampling for Continuing Environments. - Wanqiao Xu; Shi Dong 003; Benjamin Van Roy (RLJ, 2024)

Exploration Unbound. - Dilip Arumugam; Wanqiao Xu; Benjamin Van Roy (CoRR, 2024)

Provably Learning from Language Feedback. - Wanqiao Xu; Allen Nie; Ruijie Zheng; Aditya Modi 002; Adith Swaminathan; Ching-An Cheng (CoRR, 2025)