The paper titled "Adaptive Anytime Multi-Agent Path Finding Using Bandit-Based Large Neighborhood Search," authored by Thomy Phan, Taoan Huang, Bistra Dilkina, and Sven Koenig, has been accepted for presentation at AAAI 2024. 

Each co-author is a member of AI4OPT, showing their commitment to advancing adaptive path optimization in multi-agent systems. 

The paper introduces BALANCE, a novel approach that integrates online learning into Large Neighborhood Search, demonstrating significant cost improvements over existing methods in large-scale scenarios. This achievement marks a pivotal step forward in the field of artificial intelligence and multiagent systems.