Novel First Order Bayesian Optimization with an Application to Reinforcement Learning-Reference-Cited by-同舟云学术

Novel First Order Bayesian Optimization with an Application to Reinforcement Learning

Published:2020-09-30 Issue:3 Volume:51 Page:1565-1579
ISSN:0924-669X
Container-title:Applied Intelligence
language:en
Short-container-title:Appl Intell

Author:

J. Prabuchandran K.,Penubothula Santosh^ORCID,Kamanchi Chandramouli,Bhatnagar Shalabh

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Link

https://link.springer.com/content/pdf/10.1007/s10489-020-01896-w.pdf

Reference42 articles.

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4. Brochu E, Cora VM, De Freitas N (2010) A tutorial on bayesian optimization of expensive cost functions, with application to active user modeling and hierarchical reinforcement learning. arXiv:1012.2599

5. Bull AD (2011) Convergence rates of efficient global optimization algorithms. J Mach Learn Res 12(10):1–27

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