Guo, Hengquan

8 publications

NeurIPS 2025 Enhancing Safety in Reinforcement Learning with Human Feedback via Rectified Policy Optimization Xiyue Peng, Hengquan Guo, Jiawei Zhang, Dongqing Zou, Ziyu Shao, Honghao Wei, Xin Liu

IJCAI 2025 No Regret Reinforcement Learning Algorithms for Online Scheduling with Multi-Stage Tasks Yongxin Xu, Hengquan Guo, Ziyu Shao, Xin Liu

ICLR 2025 On Stochastic Contextual Bandits with Knapsacks in Small Budget Regime Hengquan Guo, Xin Liu

IJCAI 2025 On the Power of Optimism in Constrained Online Convex Optimization Haobo Zhang, Hengquan Guo, Xin Liu

ICML 2025 Triple-Optimistic Learning for Stochastic Contextual Bandits with General Constraints Hengquan Guo, Lingkai Zu, Xin Liu

COLT 2024 Stochastic Constrained Contextual Bandits via Lyapunov Optimization Based Estimation to Decision Framework Hengquan Guo, Xin Liu

L4DC 2023 Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-Armed Bandit with Constraints Hengquan Guo, Zhu Qi, Xin Liu

NeurIPS 2022 Online Convex Optimization with Hard Constraints: Towards the Best of Two Worlds and Beyond Hengquan Guo, Xin Liu, Honghao Wei, Lei Ying