Paper · arXiv
Best-Arm Identification with Noisy Actuation
In this paper, we consider a multi-armed bandit (MAB) instance and study how to identify the best arm when arm commands are conveyed from a central learner to a distributed agent over a discrete memoryless channel (DMC). Depending on the agent capabilities, we provide communication schemes along with their analysis, which interestingly relate to the zero-error capacity of the underlying DMC.
| Authors | Merve Karakas, Osama Hanna, Lin F. Yang et al. |
|---|---|
| Primary category | cs.IT |
| Published | 2 April 2026 |
| Last updated at source | 2 April 2026 |
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