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Multi-Agent Path Finding in Dynamic Environment Guided by Historical Experience

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Date of Publication:2024-10-31

Journal:Chinese Control Conference, CCC

Page Number:5614-5620

ISSN No.:1934-1768

Key Words:Automated guided vehicles; Automatic guided vehicles; Deep learning; Deep reinforcement learning; Dynamic environments; Generalisation; Historical experience; Mobile robots; Multi agent; Multi-agent path finding; Path finding; Reinforcement learning; Reinforcement learning method; Reinforcement learnings

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