30 citations · 67 across the 4 of their papers we have counts for
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stat.ML2018
Analysis of Thompson Sampling for Graphical Bandits Without the Graphs
Fang Liu, Zizhan Zheng, Ness Shroff
We study multi-armed bandit problems with graph feedback, in which the decision maker is allowed to observe the neighboring actions of the chosen action, in a setting where the gra…
cs.LG2018
UCBoost: A Boosting Approach to Tame Complexity and Optimality for Stochastic Bandits
Fang Liu, Sinong Wang, Swapna Buccapatnam +1
In this work, we address the open problem of finding low-complexity near-optimal multi-armed bandit algorithms for sequential decision making problems. Existing bandit algorithms a…