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Approximating Optimal Policies in Heterogeneous Asynchronous Multi-player Bandits
Motivated by applications to cognitive radio networks, multi-player multi-armed bandits (MMAB) have attracted considerable attention in recent years. The asynchronous variant, in which players are active only at a fraction of timesteps, better reflects real-world decentralized networks, where device
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