Laixi Shi

Orcid: 0000-0003-4038-8620

According to our database1, Laixi Shi authored at least 24 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

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Bibliography

2024
Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity.
J. Mach. Learn. Res., 2024

Can We Break the Curse of Multiagency in Robust Multi-Agent Reinforcement Learning?
CoRR, 2024

BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning.
CoRR, 2024

Tractable Equilibrium Computation in Markov Games through Risk Aversion.
CoRR, 2024

Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation.
CoRR, 2024

Distributionally Robust Constrained Reinforcement Learning under Strong Duality.
RLJ, 2024

Sample Complexity of Offline Distributionally Robust Linear Markov Decision Processes.
RLJ, 2024

Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Sample-Efficient Robust Multi-Agent Reinforcement Learning in the Face of Environmental Uncertainty.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023
A trajectory is worth three sentences: multimodal transformer for offline reinforcement learning.
Proceedings of the Uncertainty in Artificial Intelligence, 2023

Offline Reinforcement Learning with On-Policy Q-Function Regularization.
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.
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.
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.
CoRR, 2022

Curriculum Reinforcement Learning using Optimal Transport via Gradual Domain Adaptation.
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.
Proceedings of the International Conference on Machine Learning, 2022

2021
Manifold Gradient Descent Solves Multi-Channel Sparse Blind Deconvolution Provably and Efficiently.
IEEE Trans. Inf. Theory, 2021

Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning.
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.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Fusion-Based Digital Image Correlation Framework for Strain Measurement.
Proceedings of the IEEE International Conference on Acoustics, 2021

2020
Using Mobile Sensing to Enable the Signal Quality Assessment for Infrastructure Sensing Systems.
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.
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.
Proceedings of the 1st ACM International Workshop on Device-Free Human Sensing, 2019

2018
Micro Hand Gesture Recognition System Using Ultrasonic Active Sensing.
IEEE Access, 2018


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