OptiML PSE
OptiML PSE
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Bayesian Optimization
Data-Driven Optimization
Supply Chain Optimization
Reinforcement Learning
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Deep Learning in Chemical Engineering
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Policy gradient
Integrating process design and control using reinforcement learning
To create efficient-high performing processes, one must find an optimal design with its corresponding controller that ensures optimal …
Steven Sachio
,
Max Mowbray
,
Maria M. Papathanasiou
,
Dr. Ehecatl Antonio del Rio Chanona
,
Panagiotis Petsagkourakis
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Constrained Reinforcement Learning for Dynamic Optimization under Uncertainty
Dynamic real-time optimization (DRTO) is a challenging task due to the fact that optimal operating conditions must be computed in real …
P. Petsagkourakis
,
Ilya Orson Sandoval
,
E. Bradford
,
D. Zhang
,
Dr. Ehecatl Antonio del Rio Chanona
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