שמור ב:
| Main Authors: | , |
|---|---|
| פורמט: | Preprint |
| יצא לאור: |
2024
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| נושאים: | |
| גישה מקוונת: | https://arxiv.org/abs/2409.05155 |
| תגים: |
הוספת תג
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תוכן הענינים:
- Many stochastic optimization problems in multi-agent systems can be decomposed into smaller subproblems or reduced decision subspaces. The cyclic and distributed approaches are two widely used strategies for solving such problems. In this manuscript, we review four existing methods for addressing these problems and compare them based on their suitable problem frameworks and update rules.