Huang, Ruiquan

13 publications

UAI 2025 Augmenting Online RL with Offline Data Is All You Need: A Unified Hybrid RL Algorithm Design and Analysis Ruiquan Huang, Donghao Li, Chengshuai Shi, Cong Shen, Jing Yang

ICML 2025 How Transformers Learn Regular Language Recognition: A Theoretical Study on Training Dynamics and Implicit Bias Ruiquan Huang, Yingbin Liang, Jing Yang

NeurIPS 2024 Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-Ups Fengyu Gao, Ruiquan Huang, Jing Yang

NeurIPS 2024 Non-Asymptotic Convergence of Training Transformers for Next-Token Prediction Ruiquan Huang, Yingbin Liang, Jing Yang

ICLR 2024 Provable Benefits of Multi-Task RL Under Non-Markovian Decision Making Processes Ruiquan Huang, Yuan Cheng, Jing Yang, Vincent Tan, Yingbin Liang

ICLR 2024 Provably Efficient UCB-Type Algorithms for Learning Predictive State Representations Ruiquan Huang, Yingbin Liang, Jing Yang

AAAI 2024 Temporal-Distributed Backdoor Attack Against Video Based Action Recognition Xi Li, Songhe Wang, Ruiquan Huang, Mahanth Gowda, George Kesidis

ICML 2023 Federated Linear Contextual Bandits with User-Level Differential Privacy Ruiquan Huang, Huanyu Zhang, Luca Melis, Milan Shen, Meisam Hejazinia, Jing Yang

ICLR 2023 Improved Sample Complexity for Reward-Free Reinforcement Learning Under Low-Rank MDPs Yuan Cheng, Ruiquan Huang, Yingbin Liang, Jing Yang

ICML 2023 Near-Optimal Conservative Exploration in Reinforcement Learning Under Episode-Wise Constraints Donghao Li, Ruiquan Huang, Cong Shen, Jing Yang

ICML 2023 Non-Stationary Reinforcement Learning Under General Function Approximation Songtao Feng, Ming Yin, Ruiquan Huang, Yu-Xiang Wang, Jing Yang, Yingbin Liang

ICLR 2023 Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-Free RL Ruiquan Huang, Jing Yang, Yingbin Liang

NeurIPS 2021 Federated Linear Contextual Bandits Ruiquan Huang, Weiqiang Wu, Jing Yang, Cong Shen