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Reinforcement Learning-Based Fed-Batch Optimization with Reaction Surrogate Model.
Yan Ma
Zhenyu Wang
Ivan Castillo
Ricardo R. Rendall
Rahul Bindlish
Brian Ashcraft
David Bentley
Michael G. Benton
José A. Romagnoli
Leo H. Chiang
Published in:
ACC (2021)
Keyphrases
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mathematical model
reinforcement learning
probabilistic model
computational model
optimization method
bayesian networks
objective function
similarity measure
prior knowledge
sensitivity analysis
prediction model
optimization process
markov decision process