7 citations · 23 across the 35 of their papers we have counts for
3 papers · 1 filter
Reinforcement Learning Evaluation and Solution for the Feedback Capacity of the Ising Channel with Large Alphabet
Ziv Aharoni, Oron Sabag, Haim Henri Permuter
We propose a new method to compute the feedback capacity of unifilar finite state channels (FSCs) with memory using reinforcement learning (RL). The feedback capacity was previousl…
The Secrecy Capacity of Cost-Constrained Wiretap Channels
Sreejith Sreekumar, Alexander Bunin, Ziv Goldfeld +2
In many information-theoretic channel coding problems, adding an input cost constraint to the operational setup amounts to restricting the optimization domain in the capacity formu…
Computing the Feedback Capacity of Finite State Channels using Reinforcement Learning
Ziv Aharoni, Oron Sabag, Haim Henry Permuter
In this paper, we propose a novel method to compute the feedback capacity of channels with memory using reinforcement learning (RL). In RL, one seeks to maximize cumulative rewards…