2022
AAAI
AAAI 2022
Efficient Deep Learning for Multi Agent Pathfinding
Abstract
Abstract Multi 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.
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Interdisciplinary Bridge
- Artificial Intelligence and Deep Learning and Reinforcement Learning and Robotics
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Trend Setter
- Multi-Agent Systems
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Keyword Pioneer
- multi agent pathfinding
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Cross-Pollinator
- Artificial Intelligence, Computer Science, Computer Vision, Data Science & Analytics, Deep Learning, Healthcare & Medicine, Interdisciplinary, Knowledge & Reasoning, Machine Learning, Mathematics & Optimization, Natural Language Processing, Reinforcement Learning, Robotics, Security & Privacy, Speech & Audio