This study introduces a novel architecture designed to enhance the performance and cost-efficiency of Large Language Models (LLMs) in autonomous ship communication systems. Autonomous ships require ...

In this work, we propose a novel optimization approach to interpretable RL that builds decision trees. While techniques that optimize decision trees for RL do exist, they usually employ greedy ...