AAMAS 2023
Blame Attribution for Multi-Agent Pathfinding Execution Failures
Abstract
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.
Authors
Keywords
Context
- Venue
- International Conference on Autonomous Agents and Multiagent Systems
- Archive span
- 2002-2025
- Indexed papers
- 7403
- Paper id
- 38971813002993370