Author

Zhi-Yao Zhang

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#artificial intelligence Preprint Oct 2026

Foundation Model-Aided Multi-Agent Reinforcement Learning for Wireless Random Access Network Optimization

Random access (RA) is one of the most foundational medium access control (MAC) layer scheduling schemes for handling unpredictable data traffic from multiple terminals. While multi-agent reinforcement learning (MARL) has been explored to optimize RA-based wireless networks, its reliance on experience-driven, distribute...

Myeung Suk Oh, Zhi-Yao Zhang, Alvaro Velasquez et al. · 0 citations

#machine learning Preprint Sep 2026

To Solve Bilevel Optimization with Nonconvex Lower Levels, We Need Second-Order Stationarity

This work is the first to establish the finite-time convergence for achieving lower-level second-order stationary solutions in general LLNC-BLO and proposes the PROBE (Perturbed gradient algorithm for bilevel problem), which achieves a finite-time convergence rate of O(T^{-2/5}) where T denotes iterations.

Zhi-Yao Zhang, Meng-Lu Yu, Alvaro Velasquez et al. · 0 citations