Optimization of reward shaping function based on genetic algorithm applied to a cross validated deep deterministic policy gradient in a powered landing guidance problem.
Please log in to take part in the discussion (add own reviews or comments).
Cite this publication
More citation styles
- please select -
%0 Journal Article
%1 journals/eaai/NugrohoAAKLW23
%A Nugroho, Larasmoyo
%A Andiarti, Rika
%A Akmeliawati, Rini
%A Kutay, Ali Türker
%A Larasati, Diva Kartika
%A Wijaya, Sastra Kusuma
%D 2023
%J Eng. Appl. Artif. Intell.
%K dblp
%P 105798
%T Optimization of reward shaping function based on genetic algorithm applied to a cross validated deep deterministic policy gradient in a powered landing guidance problem.
%U http://dblp.uni-trier.de/db/journals/eaai/eaai120.html#NugrohoAAKLW23
%V 120
@article{journals/eaai/NugrohoAAKLW23,
added-at = {2023-03-28T00:00:00.000+0200},
author = {Nugroho, Larasmoyo and Andiarti, Rika and Akmeliawati, Rini and Kutay, Ali Türker and Larasati, Diva Kartika and Wijaya, Sastra Kusuma},
biburl = {https://www.bibsonomy.org/bibtex/2c394bf808d294c4237e83a9d35bbca26/dblp},
ee = {https://doi.org/10.1016/j.engappai.2022.105798},
interhash = {c455c271deb687026421882e050d7909},
intrahash = {c394bf808d294c4237e83a9d35bbca26},
journal = {Eng. Appl. Artif. Intell.},
keywords = {dblp},
month = {April},
pages = 105798,
timestamp = {2024-04-09T02:56:57.000+0200},
title = {Optimization of reward shaping function based on genetic algorithm applied to a cross validated deep deterministic policy gradient in a powered landing guidance problem.},
url = {http://dblp.uni-trier.de/db/journals/eaai/eaai120.html#NugrohoAAKLW23},
volume = 120,
year = 2023
}