Author

Roberto Galeazzi

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#artificial intelligence Jul 2026

Reinforcement Learning for Heterogeneous Sensor Selection in Maritime Surveillance

Results show that the learned policy achieves tracking performance close to always-on sensing while activating only one sensor per decision time step and avoiding the computationally expensive online entropy search required by expected-information-gain selection.

A. Starodubov, Y. A. Prabowo, Andreas Hadjipieris et al. · arXiv.org · 0 citations

Preprint Aug 2026

Exploring LLM Capabilities for Situational Understanding and COLREG compliance on real-world maritime navigation scenarios

Current state-of-the-art LLMs as a tool for maritime navigation, which includes both codified rules in the Collision Regulations and uncodified best practices summarized in the concept of ``Good Seamanship'' are explored.

Julius Wirbel, P. N. Hansen, Line Clemmensen et al. · 0 citations