Research on cooperative penetration decision method of multiple unmanned combat vehicles based on MADDPG
Aiming at the problem of how to make intelligent cooperative decision according to the real-time situation in the land penetration operation of multi-vehicle, combined with the process of multi-agent unmanned vehicle penetration operation, Markov (MDP) model is established,and based on the multi-age...
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| Main Author: | |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Command Control and Simulation
2025-06-01
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| Series: | Zhihui kongzhi yu fangzhen |
| Subjects: | |
| Online Access: | https://www.zhkzyfz.cn/fileup/1673-3819/PDF/1748399501994-868318954.pdf |
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| Summary: | Aiming at the problem of how to make intelligent cooperative decision according to the real-time situation in the land penetration operation of multi-vehicle, combined with the process of multi-agent unmanned vehicle penetration operation, Markov (MDP) model is established,and based on the multi-agent depth deterministic strategy gradient algorithm, the decision method of multi-unmanned vehicle collaborative penetration is proposed. In order to solve the problem of mutual influence of multi-agent decision-making agents’ policy changes, an attention mechanism is introduced in AC structure of the algorithm to make each agent pay more attention to those agents that have greater influence on the decision-making and policy evaluation. And the self-attention mechanism is used to calculate the reward weight of each agent, the reward distribution is carried out according to the contribution of each agent, which improves the cooperation of the war shop. Finally, the effectiveness and superiority of the multi-vehicle collaborative penetration decision-making method are verified by experiments in a given environment. |
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| ISSN: | 1673-3819 |