Laixi Shi

According to our database, Laixi Shi authored at least 18 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Sample Complexity of Offline Distributionally Robust Linear Markov Decision Processes.

He Wang, Laixi Shi, Yuejie Chi

CoRR, 2024

Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices.

Jiin Woo, Laixi Shi, Gauri Joshi, Yuejie Chi

CoRR, 2024

2023

A trajectory is worth three sentences: multimodal transformer for offline reinforcement learning.

Yiqi Wang, Mengdi Xu, Laixi Shi, Yuejie Chi

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Offline Reinforcement Learning with On-Policy Q-Function Regularization.

Laixi Shi, Robert Dadashi, Yuejie Chi, Pablo Samuel Castro, Matthieu Geist

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model.

Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Matthieu Geist, Yuejie Chi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation.

Wenhao Ding, Laixi Shi, Yuejie Chi, Ding Zhao

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity.

Laixi Shi, Yuejie Chi

CoRR, 2022

Settling the Sample Complexity of Model-Based Offline Reinforcement Learning.

Gen Li, Laixi Shi, Yuxin Chen, Yuejie Chi, Yuting Wei

CoRR, 2022

Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.

Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity.

Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi

Proceedings of the International Conference on Machine Learning, 2022

2021

Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently.

Laixi Shi, Yuejie Chi

IEEE Trans. Inf. Theory, 2021

Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning.

Gen Li, Laixi Shi, Yuxin Chen, Yuantao Gu, Yuejie Chi

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Robust Camera Pose Estimation For Image Stitching.

Laixi Shi, Dehong Liu, Jay Thornton

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Fusion-Based Digital Image Correlation Framework for Strain Measurement.

Laixi Shi, Dehong Liu, Masaki Umeda, Norihiko Hana

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Using Mobile Sensing to Enable the Signal Quality Assessment for Infrastructure Sensing Systems.

Yue Zhang, Susu Xu, Laixi Shi, Shijia Pan

Proceedings of the HotMobile '20: The 21st International Workshop on Mobile Computing Systems and Applications, 2020

Data Quality-Informed Multiple Occupant Localization using Floor Vibration Sensing.

Laixi Shi, Yue Zhang, Shijia Pan, Yuejie Chi

Proceedings of the HotMobile '20: The 21st International Workshop on Mobile Computing Systems and Applications, 2020

2019

Device-free Multiple People Localization through Floor Vibration.

Laixi Shi, Mostafa Mirshekari, Jonathon Fagert, Yuejie Chi, Hae Young Noh, Pei Zhang, Shijia Pan

Proceedings of the 1st ACM International Workshop on Device-Free Human Sensing, 2019

2018

Micro Hand Gesture Recognition System Using Ultrasonic Active Sensing.

Yu Sang, Laixi Shi, Yimin Liu

IEEE Access, 2018