Using process data to generate an optimal control policy via apprenticeship and reinforcement learning
Author:
Affiliation:
1. Department of Chemical Engineering and Analytical Science The University of Manchester Manchester UK
2. Department of Chemical Engineering Imperial College London London UK
Publisher
Wiley
Subject
General Chemical Engineering,Environmental Engineering,Biotechnology
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/aic.17306
Reference39 articles.
1. Human-level control through deep reinforcement learning
2. HeessN HuntJJ LillicrapTP SilverD.Memory‐based control with recurrent neural networks
3. Overview of Adaptive Dynamic Programming
4. Reinforcement learning for batch bioprocess optimization
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