Jaesung Ryu

Conflict Area Prediction for Boosting Search-Based Multi-Agent Pathfinding Algorithms

We address the challenge of efficiently controlling multi-agent systems, crucial in fields like logistics and traffic management. We propose a novel approach that combines learning-based techniques with search-based methods, focusing on enhancing the conflict-based search (CBS). The CBS ensures opti…