Ikram Syed

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.