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Distributional Reinforcement Learning for Scheduling of Chemical Production Processes
Reinforcement Learning (RL) has recently received significant attention from the process systems engineering and control communities. …
Max Mowbray
,
Dongda Zhang
,
Dr. Ehecatl Antonio del Rio Chanona
Cite
DOI
URL
Data-driven distributionally robust MPC using the Wasserstein metric
A data-driven MPC scheme is proposed to safely control constrained stochastic linear systems using distributionally robust …
Dr. Zhengang Zhong
,
Dr. Ehecatl Antonio del Rio Chanona
,
Panagiotis Petsagkourakis
Cite
DOI
URL
Data-driven distributionally robust MPC using the Wasserstein metric
Dr. Zhengang Zhong
,
Dr. Ehecatl Antonio del Rio Chanona
,
Panagiotis Petsagkourakis
Cite
arXiv
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