NEORL: NeuroEvolution Optimization with Reinforcement Learning. - Majdi I. Radaideh; Katelin Du; Paul Seurin; Devin Seyler; Xubo Gu; Haijia Wang; Koroush Shirvan (CoRR, 2021)

H2-Golden-Retriever: Methodology and Tool for an Evidence-Based Hydrogen Research Grantsmanship. - Paul Seurin; Olusola Olabanjo; Joseph Wiggins; Lorien Pratt; Loveneesh Rana; Rozhin Yasaei; Gregory Renard (CoRR, 2022)

Pareto Envelope Augmented with Reinforcement Learning: Multi-objective reinforcement learning-based approach for Large-Scale Constrained Pressurized Water Reactor optimization. - Paul Seurin; Koroush Shirvan (CoRR, 2023)

Assessment of reinforcement learning algorithms for nuclear power plant fuel optimization. - Paul Seurin; Koroush Shirvan (Appl. Intell., 2024)

Surpassing legacy approaches and human intelligence with hybrid single- and multi-objective Reinforcement Learning-based optimization and interpretable AI to enable the economic operation of the US nuclear fleet. - Paul Seurin; Koroush Shirvan (CoRR, 2024)