5 citations · 9 across the 4 of their papers we have counts for
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eess.SY2022★ 3 cited
Distributional Reinforcement Learning for Scheduling of Chemical Production Processes
Max Mowbray, Dongda Zhang, Ehecatl Antonio Del Rio Chanona
Reinforcement Learning (RL) has recently received significant attention from the process systems engineering and control communities. Recent works have investigated the application…
eess.SY2021
Integrating process design and control using reinforcement learning
Steven Sachio, Max Mowbray, Maria Papathanasiou +2
To create efficient-high performing processes, one must find an optimal design with its corresponding controller that ensures optimal operation in the presence of uncertainty. When…