AI Buzzwords Explained: Multi-Agent Path Finding (MAPF)
Explanation of the hot topic "multi-agent path finding".
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Can Large Language Models Understand Internet Buzzwords Through User-Generated Content
The massive user-generated content (UGC) available in Chinese social media is giving rise to the possibility of studying internet buzzwords. In this paper, we study if large language models (LLMs) can generate accurate d…
Multi-Agent Pathfinding with Continuous Time
Multi-Agent Pathfinding (MAPF) is the problem of finding paths for multiple agents such that every agent reaches its goal and the agents do not collide. Most prior work on MAPF was on grids, assumed agents' actions have …
Multi-Agent Path Finding under Limited Communication Range Constraint via Dynamic Leading
This paper proposes a novel framework to handle a multi-agent path finding problem under a limited communication range constraint, where all agents must have a connected communication channel to the rest of the team. Man…
Multi-Agent Path FindingAgentic AI and Multiagentic: Are We Reinventing the Wheel?
The terms Agentic AI and Multiagentic AI have recently gained popularity in discussions on generative artificial intelligence, often used to describe autonomous software agents and systems composed of such agents. Howeve…
Flexible and Explainable Solutions for Multi-Agent Path Finding Problems
The multi-agent path finding (MAPF) problem is a combinatorial search problem that aims at finding paths for multiple agents (e.g., robots) in an environment (e.g., an autonomous warehouse) such that no two agents collid…
Multi-Agent Path Finding