OptiML PSE
OptiML PSE
Research
BO & Data-Driven Optimization
RL & Process Control
LLMs & AI Agents
Discovery & Molecular Design
Sustainability & Supply Chains
All Publications
News
People
Publications
Learning Resources
Contact
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
Cite
DOI
URL
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
Cite
DOI
URL
Cite
×