Magnetic control of tokamak plasmas through deep reinforcement learning

Nuclear fusion using magnetic confinement, in particular in the tokamak configuration, is a promising path towards sustainable energy. A core challenge is to shape and maintain a high-temperature plasma within the tokamak vessel. This requires high-dimensional, high-frequency, closed-loop control us...

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Detalles Bibliográficos
Autores principales: Degrave, Jonas, Felici, Federico, Buchli, Jonas, Neunert, Michael, Tracey, Brendan, Carpanese, Francesco, Ewalds, Timo, Hafner, Roland, Abdolmaleki, Abbas, de las Casas, Diego, Donner, Craig, Fritz, Leslie, Galperti, Cristian, Huber, Andrea, Keeling, James, Tsimpoukelli, Maria, Kay, Jackie, Merle, Antoine, Moret, Jean-Marc, Noury, Seb, Pesamosca, Federico, Pfau, David, Sauter, Olivier, Sommariva, Cristian, Coda, Stefano, Duval, Basil, Fasoli, Ambrogio, Kohli, Pushmeet, Kavukcuoglu, Koray, Hassabis, Demis, Riedmiller, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8850200/
https://www.ncbi.nlm.nih.gov/pubmed/35173339
http://dx.doi.org/10.1038/s41586-021-04301-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8850200/
https://www.ncbi.nlm.nih.gov/pubmed/35173339
http://dx.doi.org/10.1038/s41586-021-04301-9

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