Laixi Shi

According to our database, Laixi Shi authored at least 34 papers between 2018 and 2025.

Collaborative distances:

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

2025

MoDoMoDo: Multi-Domain Data Mixtures for Multimodal LLM Reinforcement Learning.

Yiqing Liang, Jielin Qiu, Wenhao Ding, Zuxin Liu, James Tompkin, Mengdi Xu, Mengzhou Xia, Zhengzhong Tu, Laixi Shi, Jiacheng Zhu

CoRR, May, 2025

KL-regularization Itself is Differentially Private in Bandits and RLHF.

Yizhou Zhang, Kishan Panaganti, Laixi Shi, Juba Ziani, Adam Wierman

CoRR, May, 2025

Tractable Multi-Agent Reinforcement Learning through Behavioral Economics.

Eric Mazumdar, Kishan Panaganti, Laixi Shi

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Robust Gymnasium: A Unified Modular Benchmark for Robust Reinforcement Learning.

Shangding Gu, Laixi Shi, Muning Wen, Ming Jin, Eric Mazumdar, Yuejie Chi, Adam Wierman, Costas J. Spanos

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Hybrid Transfer Reinforcement Learning: Provable Sample Efficiency from Shifted-Dynamics Data.

Chengrui Qu, Laixi Shi, Kishan Panaganti, Pengcheng You, Adam Wierman

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

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

Laixi Shi, Yuejie Chi

J. Mach. Learn. Res., 2024

Overcoming the Curse of Dimensionality in Reinforcement Learning Through Approximate Factorization.

Chenbei Lu, Laixi Shi, Zaiwei Chen, Chenye Wu, Adam Wierman

CoRR, 2024

Can We Break the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning?

Laixi Shi, Jingchu Gai, Eric Mazumdar, Yuejie Chi, Adam Wierman

CoRR, 2024

BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning.

Haohong Lin, Wenhao Ding, Jian Chen, Laixi Shi, Jiacheng Zhu, Bo Li, Ding Zhao

CoRR, 2024

Tractable Equilibrium Computation in Markov Games through Risk Aversion.

Eric Mazumdar, Kishan Panaganti, Laixi Shi

CoRR, 2024

Distributionally Robust Constrained Reinforcement Learning under Strong Duality.

Zhengfei Zhang, Kishan Panaganti, Laixi Shi, Yanan Sui, Adam Wierman, Yisong Yue

RLJ, 2024

Sample Complexity of Offline Distributionally Robust Linear Markov Decision Processes.

He Wang, Laixi Shi, Yuejie Chi

RLJ, 2024

BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning.

Haohong Lin, Wenhao Ding, Jian Chen, Laixi Shi, Jiacheng Zhu, Bo Li, Ding Zhao

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation.

Shangding Gu, Laixi Shi, Yuhao Ding, Alois Knoll, Costas J. Spanos, Adam Wierman, Ming Jin

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Near-Optimal Distributionally Robust Reinforcement Learning with General $L_p$ Norms.

Pierre Clavier, Laixi Shi, Erwan Le Pennec, Eric Mazumdar, Adam Wierman, Matthieu Geist

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Jiin Woo, Laixi Shi, Gauri Joshi, Yuejie Chi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty.

Laixi Shi, Eric Mazumdar, Yuejie Chi, Adam Wierman

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Scalable Dynamic Resource Allocation via Domain Randomized Reinforcement Learning.

Yiqi Wang, Laixi Shi, Martin Hyungwoo Lee, Jaroslaw Sydir, Zhu Zhou, Yuejie Chi, Bin Li

Proceedings of the 2024 IEEE Global Communications Conference, 2024

2023

Provable Algorithms for Reinforcement Learning: Efficiency, Scalability, and Robustness

Laixi Shi

PhD thesis, 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

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