295 citations · 405 across the 47 of their papers we have counts for
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cs.IT2020★ 1 cited
On No-Sensing Adversarial Multi-player Multi-armed Bandits with Collision Communications
Chengshuai Shi, Cong Shen
We study the notoriously difficult no-sensing adversarial multi-player multi-armed bandits (MP-MAB) problem from a new perspective. Instead of focusing on the hardness of multiple…
cs.LG2020★ 3 cited
Stochastic Linear Contextual Bandits with Diverse Contexts
Weiqiang Wu, Jing Yang, Cong Shen
In this paper, we investigate the impact of context diversity on stochastic linear contextual bandits. As opposed to the previous view that contexts lead to more difficult bandit l…
cs.LG2020★ 12 cited
Decentralized Multi-player Multi-armed Bandits with No Collision Information
Chengshuai Shi, Wei Xiong, Cong Shen +1
The decentralized stochastic multi-player multi-armed bandit (MP-MAB) problem, where the collision information is not available to the players, is studied in this paper. Building o…