Zhishuai Liu

According to our database1, Zhishuai Liu authored at least 12 papers between 2020 and 2025.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2025
Policy Regularized Distributionally Robust Markov Decision Processes with Linear Function Approximation.
CoRR, October, 2025

A Differential Manifold Perspective and Universality Analysis of Continuous Attractors in Artificial Neural Networks.
CoRR, September, 2025

How to Provably Improve Return Conditioned Supervised Learning?
CoRR, June, 2025

Linear Mixture Distributionally Robust Markov Decision Processes.
CoRR, May, 2025

2024
Penalized regression analysis with individual-specific patterns of missing covariates.
Commun. Stat. Simul. Comput., July, 2024

Robust Offline Reinforcement Learning with Linearly Structured <i>f</i>-Divergence Regularization.
CoRR, 2024

Return Augmented Decision Transformer for Off-Dynamics Reinforcement Learning.
CoRR, 2024

Upper and Lower Bounds for Distributionally Robust Off-Dynamics Reinforcement Learning.
CoRR, 2024

Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Distributionally Robust Off-Dynamics Reinforcement Learning: Provable Efficiency with Linear Function Approximation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Convergence of Sign-based Random Reshuffling Algorithms for Nonconvex Optimization.
CoRR, 2023

2020
Wavelet Scattering Transform for ECG Beat Classification.
Comput. Math. Methods Medicine, 2020


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