Laixi Shi
Orcid: 0000-0003-4038-8620
According to our database1,
Laixi Shi
authored at least 24 papers
between 2018 and 2024.
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Bibliography
2024
Distributionally Robust Model-Based Offline Reinforcement Learning with Near-Optimal Sample Complexity.
J. Mach. Learn. Res., 2024
CoRR, 2024
BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning.
CoRR, 2024
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
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
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
2022
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
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021
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
Proceedings of the HotMobile '20: The 21st International Workshop on Mobile Computing Systems and Applications, 2020
2019
Proceedings of the 1st ACM International Workshop on Device-Free Human Sensing, 2019
2018
IEEE Access, 2018