Blame Attribution for Multi-Agent Pathfinding Execution Failures

AAMAS '23: Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems(2023)

引用 0|浏览16
暂无评分
摘要
When executing large Multi-Agent Path Finding (MAPF) scenarios, faulty events can occur over time and contribute to the overall degraded system performance. This raises the problem of how to attribute blame over the set of faulty events. The first contribution of this paper is to define this problem and propose the well-known Shapley value for solving it. The second contribution is an efficient approach for approximating Shapley values that is inspired by diagnosis concepts.
更多
查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要