A priori-knowledge/actor-critic reinforcement learning architecture for computing the mean–variance customer portfolio: The case of bank marketing campaigns-Reference-Cited by-同舟云学术

A priori-knowledge/actor-critic reinforcement learning architecture for computing the mean–variance customer portfolio: The case of bank marketing campaigns

Published:2015-11 Issue: Volume:46 Page:82-92
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Sánchez Emma M.,Clempner Julio B.,Poznyak Alexander S.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference51 articles.

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2. Abe, N., Verma, N., Schroko, R., Apte, C., 2004. Cross channel optimized marketing by reinforcement learning. In: Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD), Seattle, WA, USA, pp. 767–772.

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4. Ayesh, A., 2004. Emotionally motivated reinforcement learning based controller. In: IEEE International Conference on Systems, Man and Cybernetics, pp. 874-878.

5. Barto, A.G., Sutton, R.S., Anderson, C.W., 1983. Neuronlike elements that can solve difficult learning control problems. IEEE Trans. Syst. Man Cybern. 13, 835–846.

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