%0 Journal Article %1 journals/cce/ZhuTKKM22 %A Zhu, Lingwei %A Takami, Go %A Kawahara, Mizuo %A Kanokogi, Hiroaki %A Matsubara, Takamitsu %D 2022 %J Comput. Chem. Eng. %K dblp %P 107658 %T Alleviating parameter-tuning burden in reinforcement learning for large-scale process control. %U http://dblp.uni-trier.de/db/journals/cce/cce158.html#ZhuTKKM22 %V 158

@article{journals/cce/ZhuTKKM22, added-at = {2022-03-08T00:00:00.000+0100}, author = {Zhu, Lingwei and Takami, Go and Kawahara, Mizuo and Kanokogi, Hiroaki and Matsubara, Takamitsu}, biburl = {https://puma.ub.uni-stuttgart.de/bibtex/28614aa36755003cf57acbf70af33d2c1/dblp}, ee = {https://doi.org/10.1016/j.compchemeng.2022.107658}, interhash = {a75df78305d88648d4bcc8a067e00d56}, intrahash = {8614aa36755003cf57acbf70af33d2c1}, journal = {Comput. Chem. Eng.}, keywords = {dblp}, pages = 107658, timestamp = {2022-06-02T06:04:40.000+0200}, title = {Alleviating parameter-tuning burden in reinforcement learning for large-scale process control.}, url = {http://dblp.uni-trier.de/db/journals/cce/cce158.html#ZhuTKKM22}, volume = 158, year = 2022 }