Tao Luo

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 15

Top Topics

Reinforcement Learning

Discounted Reward

Top Venues

SIAM J. Math. Data Sci.

J. Nonlinear Sci.

Publications

Shuyu Yin, Qixuan Zhou, Fei Wen, Tao Luo
A priori Estimates for Deep Residual Network in Continuous-time Reinforcement Learning. CoRR (2024)
Zhongwang Zhang, Yuqing Li, Tao Luo, Zhi-Qin John Xu
Stochastic Modified Equations and Dynamics of Dropout Algorithm. ICLR (2024)
Yuqing Li, Tao Luo, Qixuan Zhou
Demystifying Lazy Training of Neural Networks from a Macroscopic Viewpoint. CoRR (2024)
Shuyu Yin, Fei Wen, Peilin Liu, Tao Luo
Analyzing and Bridging the Gap between Maximizing Total Reward and Discounted Reward in Deep Reinforcement Learning. CoRR (2024)
Shuyu Yin, Fei Wen, Peilin Liu, Tao Luo
Probing Implicit Bias in Semi-gradient Q-learning: Visualizing the Effective Loss Landscapes via the Fokker-Planck Equation. CoRR (2024)
Leyang Zhang, Yaoyu Zhang, Tao Luo
Structure and Gradient Dynamics Near Global Minima of Two-layer Neural Networks. CoRR (2023)
Tao Luo, Qixuan Zhou
On Residual Minimization for PDEs: Failure of PINN, Modified Equation, and Implicit Bias. CoRR (2023)
Leyang Zhang, Zhi-Qin John Xu, Tao Luo, Yaoyu Zhang
Limitation of Characterizing Implicit Regularization by Data-independent Functions. Trans. Mach. Learn. Res. 2023 (2023)
Yaoyu Zhang, Zhongwang Zhang, Leyang Zhang, Zhiwei Bai, Tao Luo, Zhi-Qin John Xu
Optimistic Estimate Uncovers the Potential of Nonlinear Models. CoRR (2023)
Tao Luo, Zheng Ma, Zhiwei Wang, Zhiqin John Xu, Yaoyu Zhang
An Upper Limit of Decaying Rate with Respect to Frequency in Linear Frequency Principle Model. MSML (2022)
Yuqing Li, Tao Luo, Chao Ma
Nonlinear Weighted Directed Acyclic Graph and A Priori Estimates for Neural Networks. SIAM J. Math. Data Sci. 4 (2) (2022)
Tao Luo, Zheng Ma, Zhi-Qin John Xu, Yaoyu Zhang
On the Exact Computation of Linear Frequency Principle Dynamics and Its Generalization. SIAM J. Math. Data Sci. 4 (4) (2022)
Tao Luo, Yang Xiang, Nung Kwan Yip
Energy Scaling and Asymptotic Properties of One-Dimensional Discrete System with Generalized Lennard-Jones (m, n) Interaction. J. Nonlinear Sci. 31 (2) (2021)
Yuqing Li, Tao Luo, Nung Kwan Yip
Towards an Understanding of Residual Networks Using Neural Tangent Hierarchy (NTH). CoRR (2020)
Tao Luo, Yang Xiang, Nung Kwan Yip
Energy Scaling and Asymptotic Properties of Step Bunching in Epitaxial Growth with Elasticity Effects. Multiscale Model. Simul. 14 (2) (2016)