Enhancing multi-agent reinforcement learning via world model assisted single-agent population policies in multi-UAV cooperative-competitive scenario.
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| Title: | Enhancing multi-agent reinforcement learning via world model assisted single-agent population policies in multi-UAV cooperative-competitive scenario. |
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| Authors: | Cheng, Jiaming1, cjming@mail.nwpu.edu.cn, Li, Ni1, lini@nwpu.edu.cn, Dong, Changyin1, dongcy@nwpu.edu.cn, Tang, Chong2, chong.tang@soton.ac.uk |
| Source: | Knowledge-Based Systems; Nov2025:Part C, Vol. 330, pN.PAG-N.PAG, 1p |
| Database: | Applied Science & Technology Source |
| ISSN: | 09507051 |
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| DOI: | 10.1016/j.knosys.2025.114534 |
