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Found 2 papers, 2 papers with code
Capacity of Continuous Channels with Memory via Directed Information Neural Estimator
When no analytic solution is present or the channel model is unknown, there is no unified framework for calculating or even approximating capacity.
Computing the Feedback Capacity of Finite State Channels using Reinforcement Learning
In this paper, we propose a novel method to compute the feedback capacity of channels with memory using reinforcement learning (RL).
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