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Swarm Reinforcement Learning For Adaptive Mesh Refinement

Swarm Reinforcement Learning For Adaptive Mesh Refinement

3 April 2023
Niklas Freymuth
Philipp Dahlinger
Tobias Würth
Simon Reisch
Luise Kärger
Gerhard Neumann
ArXivPDFHTML

Papers citing "Swarm Reinforcement Learning For Adaptive Mesh Refinement"

6 / 6 papers shown
Title
Learning Controllable Adaptive Simulation for Multi-resolution Physics
Learning Controllable Adaptive Simulation for Multi-resolution Physics
Tailin Wu
Takashi Maruyama
Qingqing Zhao
Gordon Wetzstein
J. Leskovec
PINN
AI4CE
27
19
0
01 May 2023
Deep Reinforcement Learning for Adaptive Mesh Refinement
Deep Reinforcement Learning for Adaptive Mesh Refinement
C. Foucart
A. Charous
Pierre FJ Lermusiaux
AI4CE
20
21
0
25 Sep 2022
Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed
  Boundary Conditions
Physics-Embedded Neural Networks: Graph Neural PDE Solvers with Mixed Boundary Conditions
Masanobu Horie
Naoto Mitsume
PINN
AI4CE
19
23
0
24 May 2022
DEBOSH: Deep Bayesian Shape Optimization
DEBOSH: Deep Bayesian Shape Optimization
N. Durasov
Artem Lukoyanov
Jonathan Donier
Pascal Fua
UQCV
AI4CE
21
15
0
28 Sep 2021
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
172
1,100
0
27 Apr 2021
Machine Learning-Based Optimal Mesh Generation in Computational Fluid
  Dynamics
Machine Learning-Based Optimal Mesh Generation in Computational Fluid Dynamics
Keefe Huang
M. Krügener
Alistair Brown
F. Menhorn
H. Bungartz
D. Hartmann
AI4CE
20
24
0
25 Feb 2021
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