Fetching the paper…
Reading the bibliography…
We propose a new method to compute the feedback capacity of unifilar finite state channels (FSCs) with memory using reinforcement learning (RL).
E. Ising, “Beitrag zur theorie des ferromagnetismus,” Zeitschrift für Physik , vol. 31, no. 1, pp. 253–258, 1925
1925
Earlier work this paper cites.
R. Bellman, “A markovian decision process,” Indiana Univ. Math. J. , vol. 6, pp. 679–684, 1957
1957
Earlier work this paper cites.
W. K. Hasting, “Monte Carlo sampling methods using Markov chains and their applications,” Biometrika , vol. 57, no. 1, pp. 97–109, 04 1970
1970
Earlier work this paper cites.
T. Cover, “Enumerative source encoding,” IEEE Trans. Inf. Theory , vol. 19, no. 1, pp. 73–77, January 1973
1973
Earlier work this paper cites.
1982
Earlier work this paper cites.
T. Berger and F. Bonomi, “Capacity and zero-error capacity of Ising channels,” IEEE Trans. Inf. Theory , vol. 36, pp. 173–180, 1990
1990
Cited alongside, same era.
H. H. Permuter, P. Cuff, B. V. Roy, and T. Weissman, “Capacity of the trapdoor channel with feedback,” IEEE Trans. Inf. Theory , vol. 54, no. 7, pp. 3150–3165, Jul. 2009
2009
Cited alongside, same era.
O. Elishco and H. Permuter, “Capacity and coding for the Ising channel with feedback,” IEEE Trans. Inf. Theory , vol. 60, no. 9, pp. 5138–5149, Sep. 2014
2014
Cited alongside, same era.
N. Srivastava, G. Hinton, A. Krizhevsky, I. Sutskever, and R. Salakhutdinov, “Dropout: A simple way to prevent neural networks from overfitting,” Journal of Machine Learning Research , vol. 15, no. 56, pp. 1929–1958, 2014. [Online]. Available: http://jmlr.org/papers/v15/srivastava14a.html
2014
Cited alongside, same era.
A. Sharov and R. M. Roth, “On the capacity of generalized ising channels,” IEEE Trans. on Inf. Theory , Dec. 2016
2016
Later among the works it cites.
O. Sabag, H. H. Permuter, and H. D. Pfister, “A single-letter upper bound on the feedback capacity of unifilar finite-state channels,” IEEE Trans. Inf. Theory , vol. 63, no. 3, pp. 1392–1409, March 2017
2017
Later among the works it cites.
R. S. Sutton and A. G. Barto, Reinforcement learning: An introduction . MIT press, 2018
2018
Later among the works it cites.
Z. Aharoni, O. Sabag, and H. H. Permuter, “Computing the feedback capacity of finite state channels using reinforcement learning,” in 2019 IEEE International Symposium on Information Theory (ISIT) . IEEE, 2019, pp. 837–841
2019
Later among the works it cites.
O. Sabag and H. H. Permuter, “The duality upper bound for unifilar finite-state channels with feedback,” in International Zurich Seminar on Information and Communication (IZS 2020). Proceedings . ETH Zurich, 2020, pp. 68–72
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
2015
Cited alongside, same era.
2020
Closest in time.