Shikai Luo

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 18

Top Topics

Markov Decision Process

Reinforcement Learning

Diffusion Weighted Imaging

Infinite Horizon

Top Venues

Publications

Danyang Wang, Chengchun Shi, Shikai Luo, Will Wei Sun
Pessimistic Causal Reinforcement Learning with Mediators for Confounded Offline Data. CoRR (2024)
Runpeng Dai, Jianing Wang, Fan Zhou, Shikai Luo, Zhiwei Qin, Chengchun Shi, Hongtu Zhu
Causal Deepsets for Off-policy Evaluation under Spatial or Spatio-temporal Interferences. CoRR (2024)
Jin Zhu, Runzhe Wan, Zhengling Qi, Shikai Luo, Chengchun Shi
Robust Offline Reinforcement Learning with Heavy-Tailed Rewards. AISTATS (2024)
Jin Zhu, Runzhe Wan, Zhengling Qi, Shikai Luo, Chengchun Shi
Robust Offline Policy Evaluation and Optimization with Heavy-Tailed Rewards. CoRR (2023)
Yingying Zhang, Chengchun Shi, Shikai Luo
Conformal Off-Policy Prediction. AISTATS (2023)
Guojun Wu, Ge Song, Xiaoxiang Lv, Shikai Luo, Chengchun Shi, Hongtu Zhu
DNet: Distributional Network for Distributional Individualized Treatment Effects. KDD (2023)
Yang Xu, Jin Zhu, Chengchun Shi, Shikai Luo, Rui Song
An Instrumental Variable Approach to Confounded Off-Policy Evaluation. ICML (2023)
Chengchun Shi, Shikai Luo, Hongtu Zhu, Rui Song
Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons. CoRR (2022)
Chengchun Shi, Runzhe Wan, Ge Song, Shikai Luo, Rui Song, Hongtu Zhu
A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets. CoRR (2022)
Yang Xu, Jin Zhu, Chengchun Shi, Shikai Luo, Rui Song
An Instrumental Variable Approach to Confounded Off-Policy Evaluation. CoRR (2022)
Yingying Zhang, Chengchun Shi, Shikai Luo
Conformal Off-Policy Prediction. CoRR (2022)
Chengchun Shi, Jin Zhu, Ye Shen, Shikai Luo, Hongtu Zhu, Rui Song
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process. CoRR (2022)
Shikai Luo, Ying Yang, Chengchun Shi, Fang Yao, Jieping Ye, Hongtu Zhu
Policy Evaluation for Temporal and/or Spatial Dependent Experiments in Ride-sourcing Platforms. CoRR (2022)
Yang Xu, Chengchun Shi, Shikai Luo, Lan Wang, Rui Song
Quantile Off-Policy Evaluation via Deep Conditional Generative Learning. CoRR (2022)
Runzhe Wan, Sheng Zhang, Chengchun Shi, Shikai Luo, Rui Song
Pattern Transfer Learning for Reinforcement Learning in Order Dispatching. CoRR (2021)
Chengchun Shi, Shikai Luo, Hongtu Zhu, Rui Song
An Online Sequential Test for Qualitative Treatment Effects. J. Mach. Learn. Res. 22 (2021)
Chengchun Shi, Xiaoyu Wang, Shikai Luo, Rui Song, Hongtu Zhu, Jieping Ye
A Reinforcement Learning Framework for Time-Dependent Causal Effects Evaluation in A/B Testing. CoRR (2020)
Guojun Wu, Yanhua Li, Shikai Luo, Ge Song, Qichao Wang, Jing He, Jieping Ye, Xiaohu Qie, Hongtu Zhu
A Joint Inverse Reinforcement Learning and Deep Learning Model for Drivers' Behavioral Prediction. CIKM (2020)
Seung Jae Lee, Rachel J. Steiner, Shikai Luo, Michael C. Neale, Martin Styner, Hongtu Zhu, John H. Gilmore
Quantitative tract-based white matter heritability in twin neonates. NeuroImage 111 (2015)
Shikai Luo, Rui Song, Daniela M. Witten
Sure Screening for Gaussian Graphical Models. CoRR (2014)