Optimal Operation of Cryogenic Calorimeters Through Deep Reinforcement Learning
通过深度强化学习实现低温量热仪的优化运行
期刊:
影响因子:
doi:10.1007/s41781-024-00119-y
Angloher, G; Banik, S; Benato, G; Bento, A; Bertolini, A; Breier, R; Bucci, C; Burkhart, J; Canonica, L; D'Addabbo, A; Di Lorenzo, S; Einfalt, L; Erb, A; V Feilitzsch, F; Fichtinger, S; Fuchs, D; Garai, A; Ghete, V M; Gorla, P; Guillaumon, P V; Gupta, S; Hauff, D; Ješkovský, M; Jochum, J; Kaznacheeva, M; Kinast, A; Kuckuk, S; Kluck, H; Kraus, H; Langenkämper, A; Mancuso, M; Marini, L; Mauri, B; Meyer, L; Mokina, V; Niedermayer, K; Olmi, M; Ortmann, T; Pagliarone, C; Pattavina, L; Petricca, F; Potzel, W; Povinec, P; Pröbst, F; Pucci, F; Reindl, F; Rothe, J; Schäffner, K; Schieck, J; Schönert, S; Schwertner, C; Stahlberg, M; Stodolsky, L; Strandhagen, C; Strauss, R; Usherov, I; Wagner, F; Wagner, V; Willers, M; Zema, V; Heitzinger, C; Waltenberger, W