A Nesterov's accelerated quasi-Newton method for global routing using deep reinforcement learning-Reference-Cited by-同舟云学术

A Nesterov's accelerated quasi-Newton method for global routing using deep reinforcement learning

Author:

S Indrapriyadarsini¹^ORCID,Mahboubi Shahrzad²^ORCID,Ninomiya Hiroshi²^ORCID,Kamio Takeshi³^ORCID,Asai Hideki⁴^ORCID

Affiliation:

1. Graduate School of Science and Technology, Shizuoka University

2. Graduate School of Electrical and Information Engineering, Shonan Institute of Technology

3. Graduate School of Information Sciences, Hiroshima City University

4. Research Institute of Electronics, Shizuoka University

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Rehabilitation,Physical Therapy, Sports Therapy and Rehabilitation,General Medicine

Link

Reference27 articles.

1. [1] R.S. Sutton and A.G. Barto, “Reinforcement learning: An introduction,” MIT Press, Cambridge, MA, 1st edition, March 1998.

4. [4] T. Tieleman and G. Hinton, “Lecture 6.5 - RMSProp,” COURSERA Neural Networks for Machine Learning, Technical report, 2012.

5. [5] D.P. Kingma and J. Ba, “Adam: A method for stochastic optimization,” arXiv preprint arXiv:1412.6980, December 2014.

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