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Computing the Feedback Capacity of Finite State Channels using
  Reinforcement Learning

Computing the Feedback Capacity of Finite State Channels using Reinforcement Learning

International Symposium on Information Theory (ISIT), 2019
27 January 2020
Ziv Aharoni
Oron Sabag
Haim Permuter
ArXiv (abs)PDFHTML

Papers citing "Computing the Feedback Capacity of Finite State Channels using Reinforcement Learning"

4 / 4 papers shown
Data-Driven Estimation of Capacity Upper Bounds
Data-Driven Estimation of Capacity Upper BoundsIEEE Communications Letters (IEEE Commun. Lett.), 2022
Christian Hager
E. Agrell
193
3
0
13 May 2022
A Perspective on Neural Capacity Estimation: Viability and Reliability
A Perspective on Neural Capacity Estimation: Viability and Reliability
Farhad Mirkarimi
Stefano Rini
Nariman Farsad
277
1
0
22 Mar 2022
Neural Capacity Estimators: How Reliable Are They?
Neural Capacity Estimators: How Reliable Are They?
Farhad Mirkarimi
Stefano Rini
Nariman Farsad
246
11
0
14 Nov 2021
Capacity of Continuous Channels with Memory via Directed Information
  Neural Estimator
Capacity of Continuous Channels with Memory via Directed Information Neural EstimatorInternational Symposium on Information Theory (ISIT), 2020
Ziv Aharoni
Dor Tsur
Ziv Goldfeld
Haim Permuter
148
21
0
09 Mar 2020
1
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