2 papers
cs.LG2025
Spatial-Temporal Reinforcement Learning for Network Routing with Non-Markovian Traffic
Molly Wang, Kin. K Leung
Reinforcement Learning (RL) has been widely used for packet routing in communication networks, but traditional RL methods rely on the Markov assumption that the current state conta…
cs.AI2025
Simulation-Driven Reinforcement Learning in Queuing Network Routing Optimization
Fatima Al-Ani, Molly Wang, Jevon Charles +3
This study focuses on the development of a simulation-driven reinforcement learning (RL) framework for optimizing routing decisions in complex queueing network systems, with a part…