Fetching the paper…
Reading the bibliography…
Effective resource management plays a pivotal role in wireless networks, which, unfortunately, results in challenging mixed-integer nonlinear programming (MINLP) problems in most cases.
C. Y. Wong, R. S. Cheng, K. B. Letaief, and R. D. Murch, “Multiuser OFDM with adaptive subcarrier, bit, and power allocation,”
1999
Earlier work this paper cites.
Cambridge, U.K.: Cambridge Univ. Press, 2008
Z. Han and K. R. Liu, · 2008
Earlier work this paper cites.
S. J. Pan and Q. Yang, “A survey on transfer learning,”
2010
Earlier work this paper cites.
S. Ross, G. Gordon, and D. Bagnell, “A reduction of imitation learning and structured prediction to no-regret online learning,” in
2011
Earlier work this paper cites.
Q. Ye, B. Rong, Y. Chen, M. Al-Shalash, C. Caramanis, and J. G. Andrews, “User association for load balancing in heterogeneous cellular networks,”
2013
Earlier work this paper cites.
2013
Earlier work this paper cites.
Y. Shi, J. Zhang, and K. B. Letaief, “Group sparse beamforming for green Cloud-RAN,”
2014
Earlier work this paper cites.
H. He, H. Daume III, and J. M. Eisner, “Learning to search in branch and bound algorithms,” in
2014
Earlier work this paper cites.
Springer Heidelberg, 2014
M. Conforti, G. Cornuéjols, and G. Zambelli, · 2014
Earlier work this paper cites.
O. Vinyals, M. Fortunato, and N. Jaitly, “Pointer networks,” in
2015
Earlier work this paper cites.
Y. Shi, J. Zhang, B. O’Donoghue, and K. B. Letaief, “Large-scale convex optimization for dense wireless cooperative networks,”
2015
Earlier work this paper cites.
Y. Mao, J. Zhang, and K. B. Letaief, “Dynamic computation offloading for mobile-edge computing with energy harvesting devices,”
2016
Cited alongside, same era.
MIT press Cambridge, 2016
I. Goodfellow, Y. Bengio, A. Courville, and Y. Bengio, · 2016
Cited alongside, same era.
E. B. Khalil, P. Le Bodic, L. Song, G. Nemhauser, and B. Dilkina, “Learning to branch in mixed integer programming,” in
2016
Cited alongside, same era.
D. Silver, A. Huang, C. J. Maddison, A. Guez, L. Sifre, G. Van Den Driessche, J. Schrittwieser, I. Antonoglou, V. Panneershelvam, M. Lanctot,
2016
Cited alongside, same era.
I. Bello, H. Pham, Q. V. Le, M. Norouzi, and S. Bengio, “Neural combinatorial optimization with reinforcement learning,” in
2017
Cited alongside, same era.
2018
Closest in time.
W. Lee, M. Kim, and D.-H. Cho, “Deep power control: Transmit power control scheme based on convolutional neural network,”
2018
Closest in time.
2018
Closest in time.
W. Cui, K. Shen, and W. Yu, “Spatial deep learning for wireless scheduling,”
2018
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
E. Khalil, H. Dai, Y. Zhang, B. Dilkina, and L. Song, “Learning combinatorial optimization algorithms over graphs,” in
2017
Cited alongside, same era.
J. Song, R. Lanka, A. Zhao, Y. Yue, and M. Ono, “Learning to search via self-imitation with application to risk-aware planning,” in
2017
Cited alongside, same era.
Y. Shen, Y. Shi, J. Zhang, and K. B. Letaief, “Scalable network adaptation for Cloud-RANs: An imitation learning approach,” in
2018
Cited alongside, same era.
2018
Cited alongside, same era.
2018
Cited alongside, same era.
H. Sun, X. Chen, Q. Shi, M. Hong, X. Fu, and N. D. Sidiropoulos, “Learning to optimize: Training deep neural networks for interference management,”
2018
Cited alongside, same era.
2018
Closest in time.
T. Osa, J. Pajarinen, G. Neumann, J. A. Bagnell, P. Abbeel, J. Peters,
2018
Closest in time.
M.-F. Balcan, T. Dick, T. Sandholm, and E. Vitercik, “Learning to branch,” in
2018
Closest in time.
A. R. Zamir, A. Sax, W. Shen, L. Guibas, J. Malik, and S. Savarese, “Taskonomy: Disentangling task transfer learning,” in
2018
Closest in time.
V. Francois-Lavet, P. Henderson, R. Islam, M. G. Bellemare, and J. Pineau, “An introduction to deep reinforcement learning,”
2018
Closest in time.
Y. Shen, Y. Shi, J. Zhang, and K. B. Letaief, “Transfer learning for mixed-integer resource allocation problems in wireless networks,” in
2019
Closest in time.