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Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks

Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks

18 April 2024
I. Char
Youngseog Chung
J. Abbate
E. Kolemen
Jeff Schneider
ArXivPDFHTML

Papers citing "Full Shot Predictions for the DIII-D Tokamak via Deep Recurrent Networks"

3 / 3 papers shown
Title
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based
  Reinforcement Learning
Bayes Adaptive Monte Carlo Tree Search for Offline Model-based Reinforcement Learning
Jiayu Chen
Wentse Chen
Jeff Schneider
OffRL
19
1
0
15 Oct 2024
Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing,
  and Improving Uncertainty Quantification
Uncertainty Toolbox: an Open-Source Library for Assessing, Visualizing, and Improving Uncertainty Quantification
Youngseog Chung
I. Char
Han Guo
J. Schneider
W. Neiswanger
24
70
0
21 Sep 2021
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
268
5,635
0
05 Dec 2016
1