作者: Guni Sharon
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摘要: The multi-agent path finding (MAPF) problem is a generalization of the single-agent for κ > 1 agents. It consists graph and number For each agent, unique start state goal are given, task to find paths all agents from their states states, under constraint that cannot collide during movements. In many cases there an additional minimizing cumulative cost function such as sum time steps required every agent reach its goal. my research providing new methods solve MAPF optimally provide theoretical understandings will help choose best solver given instance.