Author

Liping Zhang

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#machine learning Nov 2025

Exchange Policy Optimization Algorithm for Semi-Infinite Safe Reinforcement Learning

This paper proposes exchange policy optimization (EPO), an algorithmic framework that achieves optimal policy performance with provably bounded safety guarantees and derives an upper bound on the required number of iterations and quantifies the gap between the obtained policy and the true optimum.

Jiaming Zhang, Yujie Yang, Hao-Ning Wang et al. · arXiv.org · 1 citation

#machine learning Preprint Aug 2026

Momentum as Residual-Driven Multiplier Correction for Deep Learning Optimization

An AIM framework based on residual-penalty variable splitting, which interprets momentum as a multiplier-like correction driven by the splitting residual, and RADAR, which combines relativistic adaptive geometry, decoupled residual correction, and second-order momentum filtering to improve the update direction and mome...

Zhi-Xin Ren, Yao Lyu, Cong-Rong Li et al. · 2 citations