Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits

Nikolai Karpov; Qin Zhang

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arXiv · 2301.11442

Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits

Nikolai Karpov·Qin Zhang

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Abstract

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.

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Nikolai Karpov, Qin Zhang. 2023-01-26. Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits. https://arxiv.org/abs/2301.11442

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