most citedA Reinforcement Learning Formulation of the Lyapunov Optimization: Application to Edge Computing Systems with Queue Stability

9 citations · 9 across the 1 of their papers we have counts for

collaborators

1 paper

cs.NI2020★ 9 cited

A Reinforcement Learning Formulation of the Lyapunov Optimization: Application to Edge Computing Systems with Queue Stability

Sohee Bae, Seungyul Han, Youngchul Sung

In this paper, a deep reinforcement learning (DRL)-based approach to the Lyapunov optimization is considered to minimize the time-average penalty while maintaining queue stability.…