Development of algorithms for augmenting and replacing conventional process control using reinforcement learning

Author:

Beahr DanielORCID,Bhattacharyya DebangsuORCID,Allan Douglas A.,Zitney Stephen E.ORCID

Publisher

Elsevier BV

Reference52 articles.

1. A reinforcement learning-based economic model predictive control framework for autonomous operation of chemical reactors;Alhazmi;Chem. Eng. J.,2022

2. NMPC for setpoint tracking operation of a solid oxide electrolysis cell system;Allan,2023

3. Reinforcement learning algorithms: An overview and classification;AlMahamid,2021

4. Barth-Maron, G., Hoffman, M.W., Budden, D., Dabney, W., Horgan, D., Dhruva, T.B., Muldal, A., Heess, N., Lillicrap, T., 2018. Distributed distributional deterministic policy gradients. In: 6th International Conference on Learning Representations, ICLR 2018 - Conference Track Proceedings. pp. 1–16.

5. Bhardwaj, M., Choudhury, S., Boots, B., 2021. Blending MPC & value function approximation for efficient reinforcement learning. In: ICLR 2021 - 9th International Conference on Learning Representations.

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