Optimal Control Policies of a Crystallization Process Using Inverse Reinforcement Learning

Author:

Anandan Paul Danny,Rielly Chris D.,Benyahia Brahim

Funder

Engineering and Physical Sciences Research Council

Publisher

Elsevier

Reference10 articles.

1. Applications of a plant-wide dynamic model of an integrated continuous pharmaceutical plant: Design of the recycle in the case of multiple impurities, in: Computer Aided Chemical Engineering;Benyahia,2018

2. Robust Model-Based Reinforcement Learning Control of a Batch Crystallization Process, in: 9th International Conference on Systems and Control (ICSC);Benyahia,2021

3. The Application of an Automated Control Strategy for an Integrated Continuous Pharmaceutical Pilot Plant;Lakerveld;Organic Process Research and Development.,2015

4. End-to-end continuous manufacturing of pharmaceuticals: Integrated synthesis, purification, and final dosage formation;Mascia;Angewandte Chemie - International Edition.,2013

5. Using process data to generate an optimal control policy via apprenticeship and reinforcement learning;Mowbray;AIChE Journal.,2021

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