Hirotada Hashimoto

Graph-based reinforcement learning framework with control barrier functions for safe marine traffic control

Centralized control that optimizes ship behavior is an effective approach for managing marine traffic in congested waters. This study proposed a decision-making framework that generates optimal control actions for all ships in a sea area using traffic data represented as a graph. In this framework, control actions that...