%0 Journal Article %1 journals/access/GuerraGH24 %A Guerra, Philip %A Gil, Esteban %A Hinojosa, Victor H. %D 2024 %J IEEE Access %K dblp %P 53266-53276 %T Improving the Computational Efficiency of the Unit Commitment Problem in Hydrothermal Systems by Using Multi-Agent Deep Reinforcement Learning. %U http://dblp.uni-trier.de/db/journals/access/access12.html#GuerraGH24 %V 12

@article{journals/access/GuerraGH24, added-at = {2024-05-04T00:00:00.000+0200}, author = {Guerra, Philip and Gil, Esteban and Hinojosa, Victor H.}, biburl = {https://www.bibsonomy.org/bibtex/21d1408e70819e061dc012b72759bc34b/dblp}, ee = {https://doi.org/10.1109/ACCESS.2024.3383442}, interhash = {b1b24f17714ffe03bdb682110e667371}, intrahash = {1d1408e70819e061dc012b72759bc34b}, journal = {IEEE Access}, keywords = {dblp}, pages = {53266-53276}, timestamp = {2024-05-06T07:05:01.000+0200}, title = {Improving the Computational Efficiency of the Unit Commitment Problem in Hydrothermal Systems by Using Multi-Agent Deep Reinforcement Learning.}, url = {http://dblp.uni-trier.de/db/journals/access/access12.html#GuerraGH24}, volume = 12, year = 2024 }