Interpretable policies for reinforcement learning by genetic programming-Reference-Cited by-同舟云学术

Interpretable policies for reinforcement learning by genetic programming

Published:2018-11 Issue: Volume:76 Page:158-169
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Hein Daniel,Udluft Steffen,Runkler Thomas A.

Funder

Federal Ministry of Education and Research, Germany

Publisher

Elsevier BV

Subject

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

Reference45 articles.

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5. Depeweg, S., Hernández-Lobato, J.M., Doshi-Velez, F., Udluft, S., 2016. Learning and policy search in stochastic dynamical systems with Bayesian neural networks. arXiv preprint arXiv:1605.07127.

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