Traffic-Adaptive Per-Hop Multipath Routing in Multi-Hop UAV Networks
This work develops a multi-agent reinforcement learning (MARL) algorithm, termed Multi-Agent Proximal Policy Optimization with Dirichlet Modeling (MAPPO-DM), which follows the centralized-training-and-decentralized-execution framework and models continuous traffic-splitting actions using a Dirichlet distribution.
Zhenyu Zhao, Tiankui Zhang, Xiaoxia Xu et al.
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