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ORCIDKoroush Shirvan
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2020 – today
- 2024
[j3]Paul Seurin, Koroush Shirvan
:
Assessment of reinforcement learning algorithms for nuclear power plant fuel optimization. Appl. Intell. 54(2): 2100-2135 (2024)- [i6]Paul Seurin, Koroush Shirvan:
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. CoRR abs/2402.11040 (2024) - 2023
- [i5]Paul Seurin, Koroush Shirvan:
Assessment of Reinforcement Learning Algorithms for Nuclear Power Plant Fuel Optimization. CoRR abs/2305.05812 (2023) - [i4]Paul Seurin, Koroush Shirvan:
Pareto Envelope Augmented with Reinforcement Learning: Multi-objective reinforcement learning-based approach for Large-Scale Constrained Pressurized Water Reactor optimization. CoRR abs/2312.10194 (2023) - 2021
- [j2]Majdi I. Radaideh, Koroush Shirvan:
Rule-based reinforcement learning methodology to inform evolutionary algorithms for constrained optimization of engineering applications. Knowl. Based Syst. 217: 106836 (2021) - [i3]Yifeng Che, Joseph Yurko, Koroush Shirvan:
Machine learning-assisted surrogate construction for full-core fuel performance analysis. CoRR abs/2104.09499 (2021) - [i2]Majdi I. Radaideh, Katelin Du, Paul Seurin, Devin Seyler, Xubo Gu, Haijia Wang, Koroush Shirvan:
NEORL: NeuroEvolution Optimization with Reinforcement Learning. CoRR abs/2112.07057 (2021) - 2020
- [i1]Majdi I. Radaideh, Koroush Shirvan:
Improving Intelligence of Evolutionary Algorithms Using Experience Share and Replay. CoRR abs/2009.08936 (2020)
2010 – 2019
- 2019
- [j1]Xu Wu, Koroush Shirvan, Tomasz Kozlowski:
Demonstration of the relationship between sensitivity and identifiability for inverse uncertainty quantification. J. Comput. Phys. 396: 12-30 (2019)
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