首页
学术期刊
论文检测
AIGC检测
热点
更多
数据
Reinforcement-Learning-based Network Design and Control with Stepwise Reward Variation and Link-Adjacency Embedding
被引:0
作者
:
Cruzado, Kenji
论文数:
0
引用数:
0
h-index:
0
机构:
Nagoya University, Furo-cho, Chikusa, Aichi, Nagoya,464-8603, Japan
Nagoya University, Furo-cho, Chikusa, Aichi, Nagoya,464-8603, Japan
Cruzado, Kenji
[
1
]
论文数:
引用数:
h-index:
机构:
Shiraki, Ryuta
[
1
]
Mori, Yojiro
论文数:
0
引用数:
0
h-index:
0
机构:
Nagoya University, Furo-cho, Chikusa, Aichi, Nagoya,464-8603, Japan
Nagoya University, Furo-cho, Chikusa, Aichi, Nagoya,464-8603, Japan
Mori, Yojiro
[
1
]
Tanaka, Takafumi
论文数:
0
引用数:
0
h-index:
0
机构:
Ntt Corporation, 1-1 Hikari-no-oka, , Kanagawa, Yokosuka,239-0847, Japan
Nagoya University, Furo-cho, Chikusa, Aichi, Nagoya,464-8603, Japan
Tanaka, Takafumi
[
2
]
Higashimori, Katsuaki
论文数:
0
引用数:
0
h-index:
0
机构:
Ntt Corporation, 1-1 Hikari-no-oka, , Kanagawa, Yokosuka,239-0847, Japan
Nagoya University, Furo-cho, Chikusa, Aichi, Nagoya,464-8603, Japan
Higashimori, Katsuaki
[
2
]
Inuzuka, Fumikazu
论文数:
0
引用数:
0
h-index:
0
机构:
Ntt Corporation, 1-1 Hikari-no-oka, , Kanagawa, Yokosuka,239-0847, Japan
Nagoya University, Furo-cho, Chikusa, Aichi, Nagoya,464-8603, Japan
Inuzuka, Fumikazu
[
2
]
Ohara, Takuya
论文数:
0
引用数:
0
h-index:
0
机构:
Ntt Corporation, 1-1 Hikari-no-oka, , Kanagawa, Yokosuka,239-0847, Japan
Nagoya University, Furo-cho, Chikusa, Aichi, Nagoya,464-8603, Japan
Ohara, Takuya
[
2
]
Hasegawa, Hiroshi
论文数:
0
引用数:
0
h-index:
0
机构:
Nagoya University, Furo-cho, Chikusa, Aichi, Nagoya,464-8603, Japan
Nagoya University, Furo-cho, Chikusa, Aichi, Nagoya,464-8603, Japan
Hasegawa, Hiroshi
[
1
]
机构
:
[1]
Nagoya University, Furo-cho, Chikusa, Aichi, Nagoya,464-8603, Japan
[2]
Ntt Corporation, 1-1 Hikari-no-oka, , Kanagawa, Yokosuka,239-0847, Japan
来源
:
2022 European Conference on Optical Communication, ECOC 2022
|
2022年
关键词
:
Compilation and indexing terms;
Copyright 2024 Elsevier Inc;
D O I
:
暂无
中图分类号
:
学科分类号
:
摘要
:
Capacity enhancement - Congestion-aware - Design and control - Embeddings - First fit - Input parameter - Link utilization - Network design - Network-control - Reinforcement learnings
引用
收藏
相关论文
未找到相关数据
未找到相关数据