4 papers
Does Feedback Help in Bandits with Arm Erasures?
Merve Karakas, Osama Hanna, Lin F. Yang +1
We study a distributed multi-armed bandit (MAB) problem over arm erasure channels, motivated by the increasing adoption of MAB algorithms over communication-constrained networks. I…
Common Information Dimension
Osama Hanna, Xinlin Li, Suhas Diggavi +1
The exact common information between a set of random variables is defined as the minimum entropy of a shared random variable that allows for the exact distributive si…
Learning for Bandits under Action Erasures
Osama Hanna, Merve Karakas, Lin F. Yang +1
We consider a novel multi-arm bandit (MAB) setup, where a learner needs to communicate the actions to distributed agents over erasure channels, while the rewards for the actions ar…
Multi-Agent Bandit Learning through Heterogeneous Action Erasure Channels
Osama A. Hanna, Merve Karakas, Lin F. Yang +1
Multi-Armed Bandit (MAB) systems are witnessing an upswing in applications within multi-agent distributed environments, leading to the advancement of collaborative MAB algorithms.…