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Feedback Capacity of unifilar Finite State Channels using Reinforcement Learning

This repository contains an implementation of feedback capacity solution using reinforcement learning as introduced in the paper

Prerequisites

The code is compatible with tensoreflow 1.6 environment.

Running the code

The estimate the capacity of the Ising channel run

python ./main.py --name debug --verbose --env ising --env_cardin 3

Authors

  • Ziv Aharoni
  • Oron Sabag
  • Haim Permuter

License

This project is licensed under the MIT License - see the LICENSE.md file for details

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