Cooperative Bandit Learning in Directed Networks with Arm-Access Constraints

Evagoras Makridis, Themistoklis Charalambous

Sequential decision-making under uncertainty often involves multiple agents learning which actions (arms) yield the highest rewards through repeated interaction with a stochastic e…