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About Deep Reinforcement Learning For Router Selection in Network With
This document presents a deep reinforcement learning approach for router selection in networks with heavy traffic. It discusses the challenges of existing routing protocols under high traffic loads and proposes two deep Q-network algorithms that aim to reduce network congestion probability and transmission path length.
Detailed Information
| Author: | ['Lia Astute'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 12 |
| Language: | English |
| Format: | |
| Price: | FREE |
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