Paper ID: 2301.11442

Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits

Nikolai Karpov, Qin Zhang

In this paper, we study the collaborative learning model, which concerns the tradeoff between parallelism and communication overhead in multi-agent multi-armed bandits. For regret minimization in multi-armed bandits, we present the first set of tradeoffs between the number of rounds of communication among the agents and the regret of the collaborative learning process.

Submitted: Jan 26, 2023