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What is Case Coa Planning about?

This paper presents a framework for the automated generation of diverse Courses of Action (COAs) for multi-agent operations, addressing challenges in disaster response and military missions. It utilizes a genetic algorithm to optimize task allocations among agents while maximizing diversity and compatibility, and employs a graph neural network for task sequencing to enhance completion rates. The proposed method demonstrates significant performance improvements over traditional approaches in simulated enviro

Author

Prithvi Poddar

Language

EN