Ship Network Traffic Engineering Based on Reinforcement Learning
Xinduoji Yang,
Minghui Liu,
Xinxin Wang
et al.
Abstract:This research addresses multiple challenges faced by ship networks, including limited bandwidth, unstable network connections, high latency, and command priority. To solve these problems, we used reinforcement learning-based methods to simulate traffic engineering in ship networks. We focused on three aspects—traffic balance, instruction priority, and complex network structure—to evaluate reinforcement learning performance in these scenarios. Performance: We developed a reinforcement learning framework for shi… Show more
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