Deep Reinforcement Learning-Based Channel Allocation for Wireless LANs with Graph Convolutional Networks

B. D. McKay, “Practical graph isomorphism,” Congressus Numerantium , vol. 30, pp. 45–87, 1981

1981

Earlier work this paper cites.

D. Monderer and L. S. Shapley, “Potential games,” Games Econ. Behave. , vol. 14, no. 1, pp. 124–143, May 1996

1996

Earlier work this paper cites.

T. S. Rappaport, Wireless Communications: Principles and Practice . Englewood Cliffs, NJ: Prentice-Hall, Feb. 1996, vol. 2

1996

Earlier work this paper cites.

H. P. Young, Individual Strategy and Social Structure: An Evolutionary Theory of Institutions . Princeton, NJ: Princeton Univ. Pr., Jan. 2001

2001

Earlier work this paper cites.

M. Kuramochi and G. Karypis, “Frequent subgraph discovery,” in Proc. ICDM , 2001, pp. 313–320

2001

Earlier work this paper cites.

T. Junttila and P. Kaski, “Engineering an efficient canonical labeling tool for large and sparse graphs,” in Proc. ALENEX . Astor Crowne Plaza, NO, Lousiana: SIAM, Jan. 2007, pp. 135–149

2007

Earlier work this paper cites.

S. C. Liew, C. Kai, H. C. Leung, and P. Wong, “Back-of-the-envelope computation of throughput distributions in CSMA wireless networks,” IEEE Trans. Mobile Comput. , vol. 9, no. 9, pp. 1319–1331, Sept. 2010

2010

Cited alongside, same era.

S. Adam, L. Busoniu, and R. Babuska, “Experience replay for real-time reinforcement learning control,” IEEE Trans. Syst. Man, Cybern., Part C: Applications and Reviews , vol. 42, no. 2, pp. 201–212, 2012

2012

Cited alongside, same era.

A. Krizhevsky, I. Sutskever, and G. E. Hinton, “Imagenet classification with deep convolutional neural networks,” in Proc. NIPS , Lake Tahoe, Nevada, USA, Dec. 2012, pp. 1097–1105

2012

Cited alongside, same era.

D. P. Kingma and J. Ba, “Adam: A method for stochastic optimization,” arXiv preprint arXiv:1412.6980 , 2014

Original

2014

Cited alongside, same era.

V. Mnih, K. Kavukcuoglu, D. Silver, A. A. Rusu, J. Veness, M. G. Bellemare, A. Graves, M. Riedmiller, A. K. Fidjeland, and G. Ostrovski, “Human-level control through deep reinforcement learning,” Nature , vol. 518, no. 7540, pp. 529–533, Feb. 2015

2015

Later among the works it cites.

Z. Wang, T. Schaul, M. Hessel, H. Van Hasselt, M. Lanctot, and N. De Freitas, “Dueling network architectures for deep reinforcement learning,” arXiv preprint arXiv:1511.06581 , 2015

Original

2015

Later among the works it cites.

T. Schaul, J. Quan, I. Antonoglou, and D. Silver, “Prioritized experience replay,” in Proc. ICLR , Caribe Hilton, Sna Juan, Puerto Rico, May 2016

2016

Later among the works it cites.

R. S. Sutton and A. G. Barto, Reinforcement Learning: An Introduction . Cambridge, MA: MIT Pr., Jan. 2018

2018

Later among the works it cites.