  A novel intelligent bandwidth allocation scheme in NG-EPON using
reinforcement learning is proposed and demonstrated for latency management. We
verify the capability of the proposed scheme under both fixed and dynamic
traffic loads scenarios to achieve <1ms average latency. The RL agent
demonstrates an efficient intelligent mechanism to manage the latency, which
provides a promising IBA solution for the next-generation access network.
