Hierarchical multiagent reinforcement learning for maritime traffic management

• Main Authors: SINGH, Arambam James, KUMAR, Akshat, LAU, Hoong Chuin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Autonomous agents; Multi agent systems; Reinforcement learning; Service vessels; Waterway transportation; Artificial Intelligence and Robotics; Operations Research, Systems Engineering and Industrial Engineering; Transportation
• Online Access: https://ink.library.smu.edu.sg/sis_research/5403; https://ink.library.smu.edu.sg/context/sis_research/article/6406/viewcontent/p1278.pdf
• Institution: Singapore Management University

Increasing global maritime traffic coupled with rapid digitization and automation in shipping mandate developing next generation maritime traffic management systems to mitigate congestion, increase safety of navigation, and avoid collisions in busy and geographically constrained ports (such as Singa...