A Twin Agent Reinforcement Learning Framework by Integrating Deterministic and Stochastic Policies-Reference-Cited by-同舟云学术

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A Twin Agent Reinforcement Learning Framework by Integrating Deterministic and Stochastic Policies

Published:2024-06-10 Issue:24 Volume:63 Page:10692-10703
ISSN:0888-5885
Container-title:Industrial & Engineering Chemistry Research
language:en
Short-container-title:Ind. Eng. Chem. Res.

Author:

Gupta Nikita¹,Anand Shikhar¹,Kumar Deepak¹,Ramteke Manojkumar¹²^ORCID,Kandath Harikumar³,Kodamana Hariprasad¹²^ORCID

Affiliation:

1. Department of Chemical Engineering, Indian Institute of Technology Delhi, Delhi 110016, India

2. Yardi School of Artificial Intelligence, Indian Institute of Technology Delhi, Delhi 110016, India

3. International Institute of Information Technology Hyderabad, Gachibowli, Hyderabad 500032, Telangana, India

Funder

Science and Engineering Research Board

Publisher

American Chemical Society (ACS)

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.iecr.4c00701

Reference63 articles.

1. Adaptive control strategies for process control: A survey

2. Batch-to-Batch Adaptive Iterative Learning Control─Explicit Model Predictive Control Two-Tier Framework for the Control of Batch Transesterification Process

3. A Comprehensive Evaluation of PID, Cascade, Model-Predictive, and RTDA Controllers for Regulation of Hypnosis

4. Nonlinear model predictive control of vanadium redox flow battery

5. Robust nonlinear model predictive control of cascade of fermenters with recycle for efficient bioethanol production

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