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2020 – today
- 2024
[i9]Alexander W. Rogers, Amanda Lane, Cesar Mendoza, Simon Watson, Adam Kowalski, Philip Martin, Dongda Zhang:
Integrating knowledge-guided symbolic regression and model-based design of experiments to automate process flow diagram development. CoRR abs/2405.04592 (2024)- 2023
- [i8]Miguel Ángel de Carvalho Servia, Ilya Orson Sandoval, Klaus Hellgardt, King Kuok Hii, Dongda Zhang, Ehecatl Antonio del Rio-Chanona:
The Automated Discovery of Kinetic Rate Models - Methodological Frameworks. CoRR abs/2301.11356 (2023) - 2022
- [j5]Max Mowbray
, Panagiotis Petsagkourakis, Ehecatl Antonio del Rio-Chanona, Dongda Zhang:
Safe chance constrained reinforcement learning for batch process control. Comput. Chem. Eng. 157: 107630 (2022) - [i7]Max Mowbray, Dongda Zhang, Ehecatl Antonio del Rio-Chanona:
Distributional Reinforcement Learning for Scheduling of Chemical Production Processes. CoRR abs/2203.00636 (2022) - 2021
- [j4]Elton Pan, Panagiotis Petsagkourakis, Max Mowbray, Dongda Zhang, Ehecatl Antonio del Rio-Chanona:
Constrained model-free reinforcement learning for process optimization. Comput. Chem. Eng. 154: 107462 (2021) - [i6]Max Mowbray, Panagiotis Petsagkourakis, Ehecatl Antonio del Rio-Chanona, Robin Smith, Dongda Zhang:
Safe Chance Constrained Reinforcement Learning for Batch Process Control. CoRR abs/2104.11706 (2021) - 2020
- [j3]Panagiotis Petsagkourakis, Ilya Orson Sandoval, Eric Bradford, Dongda Zhang, Ehecatl Antonio del Rio-Chanona:
Reinforcement learning for batch bioprocess optimization. Comput. Chem. Eng. 133 (2020) - [j2]Eric Bradford, Lars Imsland, Dongda Zhang, Ehecatl Antonio del Rio-Chanona:
Stochastic data-driven model predictive control using gaussian processes. Comput. Chem. Eng. 139: 106844 (2020) - [i5]Panagiotis Petsagkourakis, Ilya Orson Sandoval, Eric Bradford, Dongda Zhang, Ehecatl Antonio del Rio-Chanona:
Constrained Reinforcement Learning for Dynamic Optimization under Uncertainty. CoRR abs/2006.02750 (2020) - [i4]Panagiotis Petsagkourakis, Ilya Orson Sandoval, Eric Bradford, Federico Galvanin, Dongda Zhang, Ehecatl Antonio del Rio-Chanona:
Chance Constrained Policy Optimization for Process Control and Optimization. CoRR abs/2008.00030 (2020) - [i3]Elton Pan, Panagiotis Petsagkourakis, Max Mowbray, Dongda Zhang, Antonio del Rio-Chanona:
Constrained Model-Free Reinforcement Learning for Process Optimization. CoRR abs/2011.07925 (2020)
2010 – 2019
- 2019
- [i2]Panagiotis Petsagkourakis, Ilya Orson Sandoval, Eric Bradford, Dongda Zhang, Ehecatl Antonio del Rio-Chanona:
Reinforcement Learning for Batch Bioprocess Optimization. CoRR abs/1904.07292 (2019) - [i1]Eric Bradford, Lars Imsland, Dongda Zhang, Ehecatl Antonio del Rio-Chanona:
Stochastic data-driven model predictive control using Gaussian processes. CoRR abs/1908.01786 (2019) - 2018
- [j1]Eric Bradford, Artur M. Schweidtmann, Dongda Zhang, Keju Jing, Ehecatl Antonio del Rio-Chanona:
Dynamic modeling and optimization of sustainable algal production with uncertainty using multivariate Gaussian processes. Comput. Chem. Eng. 118: 143-158 (2018)
Coauthor Index
aka: Antonio del Rio-Chanona
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