A cooperative jamming decision-making method based on multi-agent reinforcement learning
Abstract Electromagnetic jamming is a critical countermeasure in defense interception scenarios. This paper addresses the complex electromagnetic game involving multiple active jammers and radar systems by proposing a multi-agent reinforcement learning-based cooperative jamming decision-making metho...
Saved in:
| Main Authors: | Bingchen Cai, Haoran Li, Naimin Zhang, Mingyu Cao, Han Yu |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Springer
2025-02-01
|
| Series: | Autonomous Intelligent Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s43684-025-00090-4 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A cooperative jamming mode adjustment method based on Multi-Agent reinforcement learning
by: Jieling Wang, et al.
Published: (2025-11-01) -
Intelligent anti-jamming decision algorithm based on proximal policy optimization
by: MA Song, et al.
Published: (2024-08-01) -
Multi-domain collaborative anti-jamming based on multi-agent deep reinforcement learning
by: Biao ZHANG, et al.
Published: (2022-12-01) -
Wireless secure enhancement with cooperative jamming
by: Li-juan ZHANG, et al.
Published: (2017-02-01) -
Deep reinforcement learning-empowered anti-jamming strategy aided by sample information entropy
by: LI Gang, et al.
Published: (2024-09-01)