3 citations · 9 across the 9 of their papers we have counts for
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cs.LG2023★ 1 cited
Multi-Objective Reinforcement Learning-based Approach for Pressurized Water Reactor Optimization
Paul Seurin, Koroush Shirvan
A novel method, the Pareto Envelope Augmented with Reinforcement Learning (PEARL), has been developed to address the challenges posed by multi-objective problems, particularly in t…
cs.LG2023★ 3 cited
Assessment of Reinforcement Learning Algorithms for Nuclear Power Plant Fuel Optimization
Paul Seurin, Koroush Shirvan
The nuclear fuel loading pattern optimization problem belongs to the class of large-scale combinatorial optimization. It is also characterized by multiple objectives and constraint…