Reinforcement Learning for Adaptive Mesh Refinement.

Jiachen Yang Tarik Dzanic Brenden K. Petersen Jun Kudo Ketan Mittal Vladimir Z. Tomov Jean-Sylvain Camier Tuo Zhao Hongyuan Zha Tzanio V. Kolev Robert W. Anderson Daniel Faissol

Published in: CoRR (2021)

Keyphrases

mesh refinement
reinforcement learning
finite element
function approximation
reinforcement learning algorithms
machine learning
learning algorithm

markov decision processes
neural network
adaptive control
markov chain
multi agent
case study
database

search algorithm
learning process
data driven
sufficient conditions
monte carlo
transfer learning
image sequences

knowledge base
search engine
temporal difference
real world
adaptive filtering
reinforcement learning methods