Amirmahdi Mirfakhar

Heterogeneous Multi-Agent Bandits with Parsimonious Hints

We study a hinted heterogeneous multi-agent multi-armed bandits problem (HMA2B), where agents can query low-cost observations (hints) in addition to pulling arms. In this framework, each of the M agents has a unique reward distribution over K arms, and in T rounds, they can observe the reward of the…