Multi-Agent Path Finding (MAPF) - 35 agents in a maze. Testing agent priorities and waiting points.

YouTube Excerpt: In this demo, we'll see how agent priority in MAPF affects its progress to its destination. 00:00 We'll closely monitor agents with high and low priority; 00:23 Watch the entire video from the beginning with a wide shot. ❔ Question: Why do agents behave the way they do and not as I imagine? ✅ Answer: The solution includes agent prioritization capabilities, so routes are built with this requirement in mind. ✔️ These are not neural networks, not ml agents or anything like that. ✔️ I'd also like to point out that this is not a continuation of the project on fast pathfinding in dynamic environments, but a new project.

In this demo, we'll see how agent priority in MAPF affects its progress to its destination. 00:00 We'll closely monitor agents with high and low...

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