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Model-free and Bayesian Ensembling Model-based Deep Reinforcement
  Learning for Particle Accelerator Control Demonstrated on the FERMI FEL

Model-free and Bayesian Ensembling Model-based Deep Reinforcement Learning for Particle Accelerator Control Demonstrated on the FERMI FEL

17 December 2020
Simon Hirlaender
N. Bruchon
ArXivPDFHTML

Papers citing "Model-free and Bayesian Ensembling Model-based Deep Reinforcement Learning for Particle Accelerator Control Demonstrated on the FERMI FEL"

4 / 4 papers shown
Title
Machine Learning in Nuclear Physics
Machine Learning in Nuclear Physics
A. Boehnlein
M. Diefenthaler
C. Fanelli
M. Hjorth-Jensen
T. Horn
...
M. Schram
A. Scheinker
Michael S. Smith
Xin-Nian Wang
Veronique Ziegler
AI4CE
47
41
0
04 Dec 2021
Adaptive Machine Learning for Time-Varying Systems: Low Dimensional
  Latent Space Tuning
Adaptive Machine Learning for Time-Varying Systems: Low Dimensional Latent Space Tuning
A. Scheinker
AI4CE
42
30
0
13 Jul 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on
  Open Problems
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems
Sergey Levine
Aviral Kumar
George Tucker
Justin Fu
OffRL
GP
358
1,974
0
04 May 2020
Emergence of Locomotion Behaviours in Rich Environments
Emergence of Locomotion Behaviours in Rich Environments
N. Heess
TB Dhruva
S. Sriram
Jay Lemmon
J. Merel
...
Tom Erez
Ziyun Wang
S. M. Ali Eslami
Martin Riedmiller
David Silver
143
928
0
07 Jul 2017
1