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%0 Conference Paper
%1 conf/sgai/LiuMCZCLY23
%A Liu, Xi
%A Ma, Long
%A Chen, Zhen
%A Zheng, Changgang
%A Chen, Ren
%A Liao, Yong
%A Yang, Shufan
%B SGAI Conf.
%D 2023
%E Bramer, Max
%E Stahl, Frederic T.
%I Springer
%K dblp
%P 216-221
%T A Novel State Space Exploration Method for the Sparse-Reward Reinforcement Learning Environment.
%U http://dblp.uni-trier.de/db/conf/sgai/sgai2023.html#LiuMCZCLY23
%V 14381
%@ 978-3-031-47994-6
@inproceedings{conf/sgai/LiuMCZCLY23,
added-at = {2023-12-10T00:00:00.000+0100},
author = {Liu, Xi and Ma, Long and Chen, Zhen and Zheng, Changgang and Chen, Ren and Liao, Yong and Yang, Shufan},
biburl = {https://www.bibsonomy.org/bibtex/24313d7d311c39ae0745d206abd91de21/dblp},
booktitle = {SGAI Conf.},
crossref = {conf/sgai/2023},
editor = {Bramer, Max and Stahl, Frederic T.},
ee = {https://doi.org/10.1007/978-3-031-47994-6_18},
interhash = {5a98530e27d4e6c2fa0fae033cb69b4c},
intrahash = {4313d7d311c39ae0745d206abd91de21},
isbn = {978-3-031-47994-6},
keywords = {dblp},
pages = {216-221},
publisher = {Springer},
series = {Lecture Notes in Computer Science},
timestamp = {2024-04-09T19:41:35.000+0200},
title = {A Novel State Space Exploration Method for the Sparse-Reward Reinforcement Learning Environment.},
url = {http://dblp.uni-trier.de/db/conf/sgai/sgai2023.html#LiuMCZCLY23},
volume = 14381,
year = 2023
}