A knowledge-assisted reinforcement learning optimization for road network design problems under uncertainty
SW Chiou - Knowledge-Based Systems, 2024 - Elsevier
A knowledge-assisted reinforcement learning evolution optimization (KARLEO) is presented
for a road network under uncertain demand and capacity. In order to hedge against …
for a road network under uncertain demand and capacity. In order to hedge against …
An Improved BBR Algorithm with Adaptive Congestion Control for LEO Satellite Networks
Z Wang, Y Zhao, W Han, F Jin, L Lan… - … Conference on Cloud …, 2024 - ieeexplore.ieee.org
Low Earth Orbit (LEO) satellite networks are favored for their global coverage, low latency,
and geographical flexibility, but they also face challenges of high dynamism in network …
and geographical flexibility, but they also face challenges of high dynamism in network …