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Abraheem Rashid

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Open access 2026

Nested Multi-Agent Reinforcement Learning for Adaptive Resource Management in 6G Network Slicing: A Multi-Timescale Framework With Convergence Guarantees

A finite-time convergence result in the two-timescale stochastic approximation framework is established showing that under standard regularity and timescale-separation conditions, Nested-MARL achieves a lower bound for any single-timescale algorithm.

Abraheem Rashid, Faisal Iradat, Waseem Iqbal et al. · 0 citations

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