Robust Offline Reinforcement Learning for Non-Markovian Decision Processes von Huang, Ruiquan, Liang, Yingbin, Yang, Jing

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

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Non-asymptotic Convergence of Training Transformers for Next-token Prediction von Huang, Ruiquan, Liang, Yingbin, Yang, Jing

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Provably Efficient UCB-type Algorithms For Learning Predictive State Representations von Huang, Ruiquan, Liang, Yingbin, Yang, Jing

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Safe Exploration Incurs Nearly No Additional Sample Complexity for Reward-free RL von Huang, Ruiquan, Yang, Jing, Liang, Yingbin

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Provable Benefits of Multi-task RL under Non-Markovian Decision Making Processes von Huang, Ruiquan, Cheng, Yuan, Yang, Jing, Tan, Vincent, Liang, Yingbin

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

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Near-optimal Conservative Exploration in Reinforcement Learning under Episode-wise Constraints von Li, Donghao, Huang, Ruiquan, Shen, Cong, Yang, Jing

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Protective film with fireproof and flame-retardant functions von HUANG RUIQUAN

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Improved Sample Complexity for Reward-free Reinforcement Learning under Low-rank MDPs von Cheng, Yuan, Huang, Ruiquan, Yang, Jing, Liang, Yingbin

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Robust Offline Reinforcement Learning for Non-Markovian Decision Processes von Huang, Ruiquan, Liang, Yingbin, Yang, Jing

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Surface protection film for AMOLED flexible screen von HUANG RUIQUAN

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Non-asymptotic Convergence of Training Transformers for Next-token Prediction von Huang, Ruiquan, Liang, Yingbin, Yang, Jing

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

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LED lamp bead module with built-in resistor von HUANG RUIQUAN

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

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Provably Efficient UCB-type Algorithms For Learning Predictive State Representations von Huang, Ruiquan, Liang, Yingbin, Yang, Jing

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Differentially Private Wireless Federated Learning Using Orthogonal Sequences von Wei, Xizixiang, Wang, Tianhao, Huang, Ruiquan, Shen, Cong, Yang, Jing, Poor, H. Vincent

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Federated Linear Contextual Bandits with User-level Differential Privacy von Huang, Ruiquan, Zhang, Huanyu, Melis, Luca, Shen, Milan, Hajzinia, Meisam, Yang, Jing

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Non-stationary Reinforcement Learning under General Function Approximation von Feng, Songtao, Yin, Ming, Huang, Ruiquan, Wang, Yu-Xiang, Yang, Jing, Liang, Yingbin

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