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Learning black- and gray-box chemotactic PDEs/closures from agent based Monte Carlo simulation data.
Seungjoon Lee
Yorgos M. Psarellis
Constantinos I. Siettos
Ioannis G. Kevrekidis
Published in:
CoRR (2022)
Keyphrases
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monte carlo
simulation data
reinforcement learning
monte carlo simulation
importance sampling
learning tasks
data sets
learning algorithm
markov chain
image processing
active learning
dynamic programming
supervised learning
particle filter
stochastic approximation