%0 Conference Paper %1 conf/case/HigaN22 %A Higa, Ryota %A Nakadai, Shinji %B CASE %D 2022 %I IEEE %K dblp %P 1399-1404 %T High-level Reward Deep Reinforcement Learning Approach for a Novel Physical-Logical Hybrid Factory Line Robot Vehicle Simulation. %U http://dblp.uni-trier.de/db/conf/case/case2022.html#HigaN22 %@ 978-1-6654-9042-9

@inproceedings{conf/case/HigaN22, added-at = {2022-11-11T00:00:00.000+0100}, author = {Higa, Ryota and Nakadai, Shinji}, biburl = {https://www.bibsonomy.org/bibtex/2881d69ebc2dd51d19d46597be34c40e2/dblp}, booktitle = {CASE}, crossref = {conf/case/2022}, ee = {https://doi.org/10.1109/CASE49997.2022.9926449}, interhash = {5314047a06950b51053f3f3af17fdff2}, intrahash = {881d69ebc2dd51d19d46597be34c40e2}, isbn = {978-1-6654-9042-9}, keywords = {dblp}, pages = {1399-1404}, publisher = {IEEE}, timestamp = {2024-04-09T17:50:10.000+0200}, title = {High-level Reward Deep Reinforcement Learning Approach for a Novel Physical-Logical Hybrid Factory Line Robot Vehicle Simulation.}, url = {http://dblp.uni-trier.de/db/conf/case/case2022.html#HigaN22}, year = 2022 }