Computer Science - Machine Learning

Human-Algorithm Collaborative Bayesian Optimization for Engineering Systems
Bayesian optimization has been successfully applied throughout Chemical Engineering for the optimization of functions that are …
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Machine Learning-Assisted Discovery of Novel Reactor Designs
Additive manufacturing has enabled the fabrication of advanced reactor geometries, permitting larger, more complex design spaces. …
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An Analysis of Multi-Agent Reinforcement Learning for Decentralized Inventory Control Systems
Most solutions to the inventory management problem assume a centralization of information that is incompatible with organisational …
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Deep Gaussian Process-based Multi-fidelity Bayesian Optimization for Simulated Chemical Reactors
New manufacturing techniques such as 3D printing have recently enabled the creation of previously infeasible chemical reactor designs. …
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Distributional Reinforcement Learning for Scheduling of Chemical Production Processes
Reinforcement Learning (RL) has recently received significant attention from the process systems engineering and control communities. …
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