Sökning: "Scalarization."

Hittade 2 uppsatser innehållade ordet Scalarization..

1. 1. Investigating Multi-Objective Reinforcement Learning for Combinatorial Optimization and Scheduling Problems : Feature Identification for multi-objective Reinforcement Learning models

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Rikard Fridsén Skogsberg; [2022]
   Nyckelord :Multi-Objective Reinforcement Learning; Radio Resource Scheduling; Deep Q-Networks; Single-policy; Multi-policy; Scalarization.; Flermåls förstärkningsinlärning; Radio resurs schemaläggning; Djupa Q-nätverk; Enskilt mål; Flermål;

   Sammanfattning : Reinforcement Learning (RL) has in recent years become a core method for sequential decision making in complex dynamical systems, being of great interest to support improvements in scheduling problems. This could prove important to areas in the newer generation of cellular networks. LÄS MER

3. 2. MACHINE LEARNING-ASSISTED LOAD TESTING

   Magister-uppsats, Mälardalens högskola/Akademin för innovation, design och teknik

   Författare :Erblin Isaku; [2021]
   Nyckelord :Performance testing; load testing; search-based testing; workload generation; machine learning; evolutionary algorithms; reinforcement learning;

   Sammanfattning : The increasing worldwide demand for software systems involved in society has led to the need where not only functionality is fundamental and addressed, but end-user satisfaction in terms of availability, throughput, and response time is essential and should be preserved. Thus, systems must be evaluated at preset load levels to assess the non-functional quality problems from the closest perspective of real application use. LÄS MER