This paper discusses the optimization of sampling policies for unreliable channels with unknown channel statistics.
The system consists of a sensor sending updates to a receiver through an error-prone channel, with transmission results sent back via a reliable channel.
The objective is to minimize the Age of Information (AoI) metric by designing a sampling policy.
The proposed algorithm is shown to be effective in minimizing AoI and improving stability.