Efficient Deep Learning for Multi Agent Pathfinding
Keywords:Multiagent Learning, Machine Learning, Multiagent Systems
AbstractMulti Agent Path Finding (MAPF) is widely needed to coordinate real-world robotic systems. New approaches turn to deep learning to solve MAPF instances, primarily using reinforcement learning, which has high computational costs. We propose a supervised learning approach to solve MAPF instances using a smaller, less costly model.
How to Cite
Abreu, N. (2022). Efficient Deep Learning for Multi Agent Pathfinding. Proceedings of the AAAI Conference on Artificial Intelligence, 36(11), 13122-13123. https://doi.org/10.1609/aaai.v36i11.21697
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