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OptiML PSE
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Bayesian Optimization
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Supply Chain Optimization
Reinforcement Learning
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Process control
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 model-free reinforcement learning for process optimization
Reinforcement learning (RL) is a control approach that can handle nonlinear stochastic optimal control problems. However, despite the …
Elton Pan
,
Panagiotis Petsagkourakis
,
Max Mowbray
,
Dongda Zhang
,
Dr. Ehecatl Antonio del Rio Chanona
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