Multi-Underwater Target Interception Strategy Based on Deep Reinforcement Learning
In the context of multiple autonomous undersea vehicles(AUVs) executing underwater target interception missions, AUVs are required to make precise decisions based on both enemy and partner information, navigating the dual challenges of competition and cooperation. Most existing research typically fo...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Science Press (China)
2025-04-01
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| Series: | 水下无人系统学报 |
| Subjects: | |
| Online Access: | https://sxwrxtxb.xml-journal.net/cn/article/doi/10.11993/j.issn.2096-3920.2025-0004 |
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