Constrained model-free reinforcement learning for process optimization. - Elton Pan; Panagiotis Petsagkourakis; Max Mowbray; Dongda Zhang; Ehecatl Antonio del Rio-Chanona (Comput. Chem. Eng., 2021)

Safe Chance Constrained Reinforcement Learning for Batch Process Control. - Max Mowbray; Panagiotis Petsagkourakis; Ehecatl Antonio del Rio-Chanona; Robin Smith; Dongda Zhang (CoRR, 2021)

Integrating process design and control using reinforcement learning. - Steven Sachio; Max Mowbray; Maria M. Papathanasiou; Ehecatl Antonio del Rio-Chanona; Panagiotis Petsagkourakis (CoRR, 2021)

Safe chance constrained reinforcement learning for batch process control. - Max Mowbray; Panagiotis Petsagkourakis; Ehecatl Antonio del Rio-Chanona; Dongda Zhang (Comput. Chem. Eng., 2022)

Distributional Reinforcement Learning for Scheduling of Chemical Production Processes. - Max Mowbray; Dongda Zhang; Ehecatl Antonio del Rio-Chanona (CoRR, 2022)

An analysis of multi-agent reinforcement learning for decentralized inventory control systems. - Marwan Mousa; Damien van de Berg; Niki Kotecha; Ehecatl Antonio del Rio-Chanona; Max Mowbray (Comput. Chem. Eng., 2024)

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)