Laixi Shi

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 32

Top Topics

Markov Decision Process

Reinforcement Learning

Domain Adaptation

Top Venues

Publications

Zhengfei Zhang, Kishan Panaganti, Laixi Shi, Yanan Sui, Adam Wierman, Yisong Yue
Distributionally Robust Constrained Reinforcement Learning under Strong Duality. CoRR (2024)
Jiin Woo, Laixi Shi, Gauri Joshi, Yuejie Chi
Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices. CoRR (2024)
He Wang, Laixi Shi, Yuejie Chi
Sample Complexity of Offline Distributionally Robust Linear Markov Decision Processes. CoRR (2024)
Haohong Lin, Wenhao Ding, Jian Chen, Laixi Shi, Jiacheng Zhu, Bo Li, Ding Zhao
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning. CoRR (2024)
Eric Mazumdar, Kishan Panaganti, Laixi Shi
Tractable Equilibrium Computation in Markov Games through Risk Aversion. CoRR (2024)
Laixi Shi, Eric Mazumdar, Yuejie Chi, Adam Wierman
Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty. CoRR (2024)
Shangding Gu, Laixi Shi, Yuhao Ding, Alois Knoll, Costas J. Spanos, Adam Wierman, Ming Jin
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation. CoRR (2024)
Wenhao Ding, Laixi Shi, Yuejie Chi, Ding Zhao
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation. CoRR (2023)
Laixi Shi, Robert Dadashi, Yuejie Chi, Pablo Samuel Castro, Matthieu Geist
Offline Reinforcement Learning with On-Policy Q-Function Regularization. CoRR (2023)
Laixi Shi, Robert Dadashi, Yuejie Chi, Pablo Samuel Castro, Matthieu Geist
Offline Reinforcement Learning with On-Policy Q-Function Regularization. ECML/PKDD (4) (2023)
Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Matthieu Geist, Yuejie Chi
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model. CoRR (2023)
Wenhao Ding, Laixi Shi, Yuejie Chi, Ding Zhao
Seeing is not Believing: Robust Reinforcement Learning against Spurious Correlation. NeurIPS (2023)
Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Matthieu Geist, Yuejie Chi
The Curious Price of Distributional Robustness in Reinforcement Learning with a Generative Model. NeurIPS (2023)
Yiqi Wang, Mengdi Xu, Laixi Shi, Yuejie Chi
A trajectory is worth three sentences: multimodal transformer for offline reinforcement learning. UAI (2023)
Gen Li, Laixi Shi, Yuxin Chen, Yuejie Chi, Yuting Wei
Settling the Sample Complexity of Model-Based Offline Reinforcement Learning. CoRR (2022)
Laixi Shi, Yuejie Chi
Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity. CoRR (2022)
Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation. NeurIPS (2022)
Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity. ICML (2022)
Peide Huang, Mengdi Xu, Jiacheng Zhu, Laixi Shi, Fei Fang, Ding Zhao
Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation. CoRR (2022)
Laixi Shi, Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi
Pessimistic Q-Learning for Offline Reinforcement Learning: Towards Optimal Sample Complexity. CoRR (2022)
Laixi Shi, Yuejie Chi
Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently. IEEE Trans. Inf. Theory 67 (7) (2021)
Laixi Shi, Dehong Liu, Jay Thornton
Robust Camera Pose Estimation For Image Stitching. ICIP (2021)
Gen Li, Laixi Shi, Yuxin Chen, Yuantao Gu, Yuejie Chi
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning. CoRR (2021)
Laixi Shi, Dehong Liu, Masaki Umeda, Norihiko Hana
Fusion-Based Digital Image Correlation Framework for Strain Measurement. ICASSP (2021)
Gen Li, Laixi Shi, Yuxin Chen, Yuantao Gu, Yuejie Chi
Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning. NeurIPS (2021)
Laixi Shi, Yuejie Chi
Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently. ICASSP (2020)
Yue Zhang, Susu Xu, Laixi Shi, Shijia Pan
Using Mobile Sensing to Enable the Signal Quality Assessment for Infrastructure Sensing Systems. HotMobile (2020)
Laixi Shi, Yue Zhang, Shijia Pan, Yuejie Chi
Data Quality-Informed Multiple Occupant Localization using Floor Vibration Sensing. HotMobile (2020)
Laixi Shi, Mostafa Mirshekari, Jonathon Fagert, Yuejie Chi, Hae Young Noh, Pei Zhang, Shijia Pan
Device-free Multiple People Localization through Floor Vibration. DFHS@BuildSys (2019)
Laixi Shi, Yuejie Chi
Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently. CoRR (2019)
Yu Sang, Laixi Shi, Yimin Liu
Micro Hand Gesture Recognition System Using Ultrasonic Active Sensing. IEEE Access 6 (2018)
Yu Sang, Laixi Shi, Yimin Liu
Micro Hand Gesture Recognition System Using Ultrasonic Active Sensing. CoRR (2017)