Meta-modeling game for deriving theoretical-consistent, micro-structural-based traction-separation laws via deep reinforcement learning

24 October 2018

Papers citing "Meta-modeling game for deriving theoretical-consistent, micro-structural-based traction-separation laws via deep reinforcement learning"

10 / 10 papers shown

Title
Beyond Games: A Systematic Review of Neural Monte Carlo Tree Search Applications Marco Kemmerling Daniel Lutticke Robert H. Schmitt 32 14 0 14 Mar 2023
Design of experiments for the calibration of history-dependent models via deep reinforcement learning and an enhanced Kalman filter Ruben Villarreal Nikolaos N. Vlassis Nhon N. Phan Tommie A. Catanach Reese E. Jones N. Trask S. Kramer WaiChing Sun OffRL 30 11 0 27 Sep 2022
Towards out of distribution generalization for problems in mechanics Lingxiao Yuan Harold S. Park Emma Lejeune OOD AI4CE 36 17 0 29 Jun 2022
Predicting Mechanically Driven Full-Field Quantities of Interest with Deep Learning-Based Metamodels S. Mohammadzadeh Emma Lejeune AI4CE 28 28 0 24 Jul 2021
Data-driven discovery of interpretable causal relations for deep learning material laws with uncertainty propagation Xiao Sun B. Bahmani Nikolaos N. Vlassis WaiChing Sun Yanxun Xu CML AI4CE 65 26 0 20 May 2021
Bayesian neural networks for weak solution of PDEs with uncertainty quantification Xiaoxuan Zhang K. Garikipati AI4CE 46 11 0 13 Jan 2021
Physics informed deep learning for computational elastodynamics without labeled data Chengping Rao Hao Sun Yang Liu PINN AI4CE 17 222 0 10 Jun 2020
A cooperative game for automated learning of elasto-plasticity knowledge graphs and models with AI-guided experimentation Kun Wang WaiChing Sun Q. Du AI4CE 23 56 0 08 Mar 2019
SAI, a Sensible Artificial Intelligence that plays Go F. Morandin G. Amato R. Gini C. Metta Maurizio Parton G. Pascutto LLMAG 21 13 0 11 Sep 2018
General solutions for nonlinear differential equations: a rule-based self-learning approach using deep reinforcement learning Shiyin Wei Xiaowei Jin Hui Li AI4CE 39 39 0 13 May 2018