%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 }