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Distributed Consensus Algorithm for Decision-Making in Multi-agent Multi-armed Bandit
We study a structured multi-agent multi-armed bandit (MAMAB) problem in a dynamic environment.
Cooperative Thresholded Lasso for Sparse Linear Bandit
We present a novel approach to address the multi-agent sparse contextual linear bandit problem, in which the feature vectors have a high dimension $d$ whereas the reward function depends on only a limited set of features - precisely $s_0 \ll d$.
Distributed Task Management in Fog Computing: A Socially Concave Bandit Game
One strategy, namely bandit gradient ascent with momentum, is an online convex optimization algorithm with bandit feedback.
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