OptiML PSE
OptiML PSE
Research
Bayesian Optimization
Data-Driven Optimization
Supply Chain Optimization
Reinforcement Learning
Statistical Learning
Large Language Models
Hybrid Modelling
Process Control
Deep Learning in Chemical Engineering
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Max Mowbray
Publications
An Analysis of Multi-Agent Reinforcement Learning for Decentralized Inventory Control Systems
Distributional reinforcement learning for inventory management in multi-echelon supply chains
Integrating process design and control using reinforcement learning
Distributional Reinforcement Learning for Scheduling of Chemical Production Processes
Convex Q-learning: Reinforcement learning through convex programming
Industrial data science – a review of machine learning applications for chemical and process industries
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