Eavesdropping Game Based on Multi-Agent Deep Reinforcement Learning

被引：0

作者：

Guo, Delin ^{[1
]}

Tang, Lan ^{[1
]}

Yang, Lvxi ^{[2
,3
]}

Liang, Ying-Chang ^{[2
,3
]}

机构：

[1] Nanjing University, Nanjing, China

[2] Southeast University, Nanjing, China

[3] University of Electronic Science and Technology of China, Chengdu, China

来源：

IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC | 2022年 / 2022-July卷

关键词：

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Computation theory - Deep learning - Game theory - Jamming - Learning algorithms - Learning systems - Multi agent systems - Network layers - Security systems - Stochastic models - Stochastic systems - Transmitters

引用

共 50 条

[21] MAGNet: Multi-agent Graph Network for Deep Multi-agent Reinforcement Learning
Malysheva, Aleksandra
Kudenko, Daniel
Shpilman, Aleksei
2019 XVI INTERNATIONAL SYMPOSIUM PROBLEMS OF REDUNDANCY IN INFORMATION AND CONTROL SYSTEMS (REDUNDANCY), 2019, : 171 - 176
[22] Multi-agent Collaborative Fire Rescue Based on Deep Reinforcement Learning
Feng, Yiming
2022 IEEE INTERNATIONAL CONFERENCE ON ELECTRICAL ENGINEERING, BIG DATA AND ALGORITHMS (EEBDA), 2022, : 1317 - 1321
[23] Distributed interference coordination based on multi-agent deep reinforcement learning
Liu T.
Luo Y.
Yang C.
Tongxin Xuebao/Journal on Communications, 2020, 41 (07): : 38 - 48
[24] Macro-Action-Based Deep Multi-Agent Reinforcement Learning
Xiao, Yuchen
Hoffman, Joshua
Amato, Christopher
CONFERENCE ON ROBOT LEARNING, VOL 100, 2019, 100
[25] Distributed Task Offloading based on Multi-Agent Deep Reinforcement Learning
Hu, Shucheng
Ren, Tao
Niu, Jianwei
Hu, Zheyuan
Xing, Guoliang
2021 17TH INTERNATIONAL CONFERENCE ON MOBILITY, SENSING AND NETWORKING (MSN 2021), 2021, : 575 - 583
[26] UAV Swarm Confrontation Based on Multi-agent Deep Reinforcement Learning
Wang, Zhi
Liu, Fan
Guo, Jing
Hong, Chen
Chen, Ming
Wang, Ershen
Zhao, Yunbo
2022 41ST CHINESE CONTROL CONFERENCE (CCC), 2022, : 4996 - 5001
[27] Multi-Agent Deep Reinforcement Learning Based Distributed Resource Allocation
Urmonov, Odilbek
Kim, HyungWon
2021 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS), 2021,
[28] OptimizingMARL: Developing Cooperative Game Environments Based on Multi-agent Reinforcement Learning
Ferreira, Thais
Clua, Esteban
Kohwalter, Troy Costa
Santos, Rodrigo
ENTERTAINMENT COMPUTING, ICEC 2022, 2022, 13477 : 89 - 102
[29] Pursuit and evasion game between UVAs based on multi-agent reinforcement learning
Xu, Guangyan
Zhao, Yang
Liu, Hao
2019 CHINESE AUTOMATION CONGRESS (CAC2019), 2019, : 1261 - 1266
[30] A Transfer Learning Framework for Deep Multi-Agent Reinforcement Learning
Yi Liu
Xiang Wu
Yuming Bo
Jiacun Wang
Lifeng Ma
IEEE/CAA Journal of Automatica Sinica, 2024, 11 (11) : 2346 - 2348

← 1 2 3 4 5 →