Max Mowbray

According to our database, Max Mowbray authored at least 9 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

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

Comput. Chem. Eng., 2026

A survey and tutorial of reinforcement learning methods in Process Systems Engineering.

Maximilian Bloor, Max Mowbray, Ehecatl Antonio del Rio-Chanona, Calvin Tsay

Comput. Chem. Eng., 2026

2025

A Decomposition Approach to Solving Numerical Constraint Satisfaction Problems on Directed Acyclic Graphs.

Max Mowbray, Nilay Shah, Benoît Chachuat

CoRR, November, 2025

2024

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

2022

Distributional Reinforcement Learning for Scheduling of Chemical Production Processes.

Max Mowbray, Dongda Zhang, Ehecatl Antonio del Rio-Chanona

CoRR, 2022

Safe chance constrained reinforcement learning for batch process control.

Max Mowbray, Panagiotis Petsagkourakis, Ehecatl Antonio del Rio-Chanona, Dongda Zhang

Comput. Chem. Eng., 2022

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, Robin Smith, Dongda Zhang

CoRR, 2021

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