Mining the factor zoo: Estimation of latent factor models with sufficient proxies von Wan, Runzhe, Li, Yingying, Lu, Wenbin, Song, Rui

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BATCH POLICY LEARNING IN AVERAGE REWARD MARKOV DECISION PROCESSES von Liao, Peng, Qi, Zhengling, Wan, Runzhe, Klasnja, Predrag, Murphy, Susan A

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A Review of Reinforcement Learning in Financial Applications von Bai, Yahui, Gao, Yuhe, Wan, Runzhe, Zhang, Sheng, Song, Rui

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A multiagent reinforcement learning framework for off-policy evaluation in two-sided markets von Shi, Chengchun, Wan, Runzhe, Song, Ge, Luo, Shikai, Zhu, Hongtu, Song, Rui

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A Review of Reinforcement Learning in Financial Applications von Bai, Yahui, Gao, Yuhe, Wan, Runzhe, Zhang, Sheng, Song, Rui

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STEEL: Singularity-aware Reinforcement Learning von Chen, Xiaohong, Qi, Zhengling, Wan, Runzhe

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Zero-Inflated Bandits von Wei, Haoyu, Wan, Runzhe, Shi, Lei, Song, Rui

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Robust Offline Reinforcement learning with Heavy-Tailed Rewards von Zhu, Jin, Wan, Runzhe, Qi, Zhengling, Luo, Shikai, Shi, Chengchun

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Towards Scalable and Robust Structured Bandits: A Meta-Learning Framework von Wan, Runzhe, Ge, Lin, Song, Rui

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Safe Exploration for Efficient Policy Evaluation and Comparison von Wan, Runzhe, Kveton, Branislav, Song, Rui

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Metadata-based Multi-Task Bandits with Bayesian Hierarchical Models von Wan, Runzhe, Ge, Lin, Song, Rui

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Experimentation Platforms Meet Reinforcement Learning: Bayesian Sequential Decision-Making for Continuous Monitoring von Wan, Runzhe, Liu, Yu, McQueen, James, Hains, Doug, Song, Rui

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Multiplier Bootstrap-based Exploration von Wan, Runzhe, Wei, Haoyu, Kveton, Branislav, Song, Rui

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Heterogeneous Synthetic Learner for Panel Data von Shen, Ye, Wan, Runzhe, Cai, Hengrui, Song, Rui

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Mining the Factor Zoo: Estimation of Latent Factor Models with Sufficient Proxies von Wan, Runzhe, Li, Yingying, Lu, Wenbin, Song, Rui

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Multi-Objective Model-based Reinforcement Learning for Infectious Disease Control von Wan, Runzhe, Zhang, Xinyu, Song, Rui

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Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches von Liu, Yu, Wan, Runzhe, McQueen, James, Hains, Doug, Gu, Jinxiang, Song, Rui

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STEEL: Singularity-aware Reinforcement Learning von Chen, Xiaohong, Zhengling Qi, Wan, Runzhe

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Pattern Transfer Learning for Reinforcement Learning in Order Dispatching von Wan, Runzhe, Zhang, Sheng, Shi, Chengchun, Luo, Shikai, Song, Rui

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Deeply-Debiased Off-Policy Interval Estimation von Shi, Chengchun, Wan, Runzhe, Chernozhukov, Victor, Song, Rui

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