Value Penalized Q-Learning for Recommender Systems. - Chengqian Gao; Ke Xu; Peilin Zhao (CoRR, 2021)

Value Penalized Q-Learning for Recommender Systems. - Chengqian Gao; Ke Xu; Kuangqi Zhou; Lanqing Li; Xueqian Wang 001; Bo Yuan 008; Peilin Zhao (SIGIR, 2022)

Robust Offline Reinforcement Learning with Gradient Penalty and Constraint Relaxation. - Chengqian Gao; Ke Xu; Liu Liu 014; Deheng Ye; Peilin Zhao; Zhiqiang Xu 003 (CoRR, 2022)

Hard-Thresholding Meets Evolution Strategies in Reinforcement Learning. - Chengqian Gao; William de Vazelhes; Hualin Zhang; Bin Gu 001; Zhiqiang Xu (IJCAI, 2024)

Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples. - Chengqian Gao; Haonan Li; Liu Liu 014; Zeke Xie; Peilin Zhao; Zhiqiang Xu 003 (CoRR, 2025)

Revisiting Reinforcement Learning for LLM Reasoning from A Cross-Domain Perspective. - Zhoujun Cheng; Shibo Hao; Tianyang Liu 003; Fan Zhou; Yutao Xie; Feng Yao; Yuexin Bian; Yonghao Zhuang 001; Nilabjo Dey; Yuheng Zha; Yi Gu; Kun Zhou; et al. (CoRR, 2025)