2 papers
cs.NI2022
FORLORN: A Framework for Comparing Offline Methods and Reinforcement Learning for Optimization of RAN Parameters
Vegard Edvardsen, Gard Spreemann, Jeriek Van den Abeele
The growing complexity and capacity demands for mobile networks necessitate innovative techniques for optimizing resource usage. Meanwhile, recent breakthroughs have brought Reinfo…
hep-ph2020
: the cross-section evaluation code
Andy Buckley, Anders Kvellestad, Are Raklev +4
The evaluation of higher-order cross-sections is an important component in the search for new physics, both at hadron colliders and elsewhere. For most new physics processes of int…