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01/26/2023
The Automated Discovery of Kinetic Rate Models – Methodological Frameworks
The industrialization of catalytic processes is of far more importance t...
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03/01/2022
Distributional Reinforcement Learning for Scheduling of (Bio)chemical Production Processes
Reinforcement Learning (RL) has recently received significant attention ...
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04/23/2021
Safe Chance Constrained Reinforcement Learning for Batch Process Control
Reinforcement Learning (RL) controllers have generated excitement within...
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11/16/2020
Constrained Model-Free Reinforcement Learning for Process Optimization
Reinforcement learning (RL) is a control approach that can handle nonlin...
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07/30/2020
Chance Constrained Policy Optimization for Process Control and Optimization
Chemical process optimization and control are affected by 1) plant-model...
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06/04/2020
Constrained Reinforcement Learning for Dynamic Optimization under Uncertainty
Dynamic real-time optimization (DRTO) is a challenging task due to the f...
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08/05/2019
