3 papers
cs.LG2025
Predictive Lagrangian Optimization for Constrained Reinforcement Learning
Tianqi Zhang, Puzhen Yuan, Guojian Zhan +6
Constrained optimization is popularly seen in reinforcement learning for addressing complex control tasks. From the perspective of dynamic system, iteratively solving a constrained…
math.OC2024
Reweighted Quasi Norm Regularized Low-Rank Factorization for Matrix Robust PCA
Zhenzhi Qin, Liping Zhang
Robust Principal Component Analysis (RPCA) and its associated non-convex relaxation methods constitute a significant component of matrix completion problems, wherein matrix factori…
math.OC2024
Low-rank quaternion tensor completion for color video inpainting via a novel factorization strategy
Zhenzhi Qin, Zhenyu Ming, Defeng Sun +1
Recently, a quaternion tensor product named Qt-product was proposed, and then the singular value decomposition and the rank of a third-order quaternion tensor were given. From a mo…