%0 Journal Article %1 Hart2023-aq %A Hart, Fabian %A Okhrin, Ostap %A Treiber, Martin %D 2023 %I Elsevier BV %J Ocean Eng. %K waterways inland deep Vessel-following learning reinforcement model from:scadsfct %N 114679 %P 114679 %T Vessel-following model for inland waterways based on deep reinforcement learning %V 281

@article{Hart2023-aq, added-at = {2024-11-12T14:43:57.000+0100}, author = {Hart, Fabian and Okhrin, Ostap and Treiber, Martin}, biburl = {https://puma.scadsai.uni-leipzig.de/bibtex/2497ef3bb6ffa64e9465c661050bfe896/scads.ai}, interhash = {7858a8ad0607d39358f6799b9ec95b3f}, intrahash = {497ef3bb6ffa64e9465c661050bfe896}, journal = {Ocean Eng.}, keywords = {waterways inland deep Vessel-following learning reinforcement model from:scadsfct}, language = {en}, month = aug, number = 114679, pages = 114679, publisher = {Elsevier BV}, timestamp = {2024-11-12T14:43:57.000+0100}, title = {Vessel-following model for inland waterways based on deep reinforcement learning}, volume = 281, year = 2023 }