Feb. 1, 2024, 12:45 p.m. | Zikai Feng Di Wu Mengxing Huang Chau Yuen

cs.LG updates on arXiv.org arxiv.org

In the multiple unmanned aerial vehicle (UAV)- assisted downlink communication, it is challenging for UAV base stations (UAV BSs) to realize trajectory design and resource assignment in unknown environments. The cooperation and competition between UAV BSs in the communication network leads to a Markov game problem. Multi-agent reinforcement learning is a significant solution for the above decision-making. However, there are still many common issues, such as the instability of the system and low utilization of historical data, that limit its …

aerial attention bss communication competition cs.it cs.lg cs.ma design environments game graph leads markov math.it multiple network reinforcement reinforcement learning trajectory unmanned aerial vehicle

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