Reinforcement learning for batch bioprocess optimization. - Panagiotis Petsagkourakis; Ilya Orson Sandoval; Eric Bradford; Dongda Zhang; Ehecatl Antonio del Rio-Chanona (Comput. Chem. Eng., 2020)

Constrained Reinforcement Learning for Dynamic Optimization under Uncertainty. - Panagiotis Petsagkourakis; Ilya Orson Sandoval; Eric Bradford; Dongda Zhang; Ehecatl Antonio del Rio-Chanona (CoRR, 2020)

Chance Constrained Policy Optimization for Process Control and Optimization. - Panagiotis Petsagkourakis; Ilya Orson Sandoval; Eric Bradford; Federico Galvanin; Dongda Zhang; Ehecatl Antonio del Rio-Chanona (CoRR, 2020)

Neural ODEs as Feedback Policies for Nonlinear Optimal Control. - Ilya Orson Sandoval; Panagiotis Petsagkourakis; Ehecatl Antonio del Rio-Chanona (CoRR, 2022)

The Automated Discovery of Kinetic Rate Models - Methodological Frameworks. - Miguel Ángel de Carvalho Servia; Ilya Orson Sandoval; Klaus Hellgardt; King Kuok Hii; Dongda Zhang; Ehecatl Antonio del Rio-Chanona (CoRR, 2023)

PC-Gym: Benchmark Environments For Process Control Problems. - Maximilian Bloor; José Torraca; Ilya Orson Sandoval; Akhil Ahmed; Martha White; Mehmet Mercangöz; Calvin Tsay; Ehecatl Antonio del Rio-Chanona; Max Mowbray (CoRR, 2024)

Constraint-Guided Symbolic Regression for Data-Efficient Kinetic Model Discovery. - Miguel Ángel de Carvalho Servia; Ilya Orson Sandoval; King Kuok Hii; Klaus Hellgardt; Dongda Zhang; Ehecatl Antonio del Rio-Chanona (CoRR, 2025)