Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter

Document Details

Document Type
Pub Defense Publication
Publication Date
May 12, 2023
Source ID
10.1007/s00466-023-02335-6

Entities

People

  • Nathaniel A. Trask
  • Nhon N. Phan
  • Nikolaos N. Vlassis
  • Reese E. Jones
  • Ruben Villarreal
  • Sharlotte Kramer
  • Tommie A. Catanach
  • WaiChing Sun

Organizations

  • Stanford University
  • United States Department of Defense
  • United States Department of Energy

Tags

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms
  • AI & ML - Neural Networks