Process control of mAb production using multi-actor proximal policy optimization

Process control of mAb production using multi-actor proximal policy optimization

Monoclonal antibodies (mAb) are biopharmaceutical products that improve human immunity. In this work, we propose a multi-actor proximal policy optimization-based reinforcement learning (RL) for the control of mAb production. Here, manipulated variable is flowrate and the control variable is mAb conc...

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Bibliographic Details
Main Authors: Nikita Gupta, Shikhar Anand, Tanuja Joshi, Deepak Kumar, Manojkumar Ramteke, Hariprasad Kodamana
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Digital Chemical Engineering
Subjects:
Monoclonal antibodies (mAb)
Reinforcement learning (RL)
Deep deterministic policy gradient (DDPG)
Proximal policy optimization (PPO)
Twin delayed deep deterministic policy gradient (TD3)
Online Access:http://www.sciencedirect.com/science/article/pii/S2772508123000261

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http://www.sciencedirect.com/science/article/pii/S2772508123000261

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