Learning to Coordinate Under Threshold Rewards: A Cooperative Multi-Agent Bandit Framework

Michael Ledford, William Regli

Cooperative multi-agent systems often face tasks that require coordinated actions under uncertainty. While multi-armed bandit (MAB) problems provide a powerful framework for decent…