research
∙
05/09/2023
Assessment of Reinforcement Learning Algorithms for Nuclear Power Plant Fuel Optimization
The nuclear fuel loading pattern optimization problem has been studied s...
share
research
∙
12/01/2021
NEORL: NeuroEvolution Optimization with Reinforcement Learning
We present an open-source Python framework for NeuroEvolution Optimizati...
research
∙
04/17/2021
Machine learning-assisted surrogate construction for full-core fuel performance analysis
Accurately predicting the behavior of a nuclear reactor requires multiph...
research
∙
08/10/2020
Improving Intelligence of Evolutionary Algorithms Using Experience Share and Replay
We propose PESA, a novel approach combining Particle Swarm Optimisation ...
research
∙
01/31/2018
Demonstration of the Relationship between Sensitivity and Identifiability for Inverse Uncertainty Quantification
Inverse Uncertainty Quantification (UQ), or Bayesian calibration, is the...
research
∙
01/28/2018
Inverse Uncertainty Quantification using the Modular Bayesian Approach based on Gaussian Process, Part 2: Application to TRACE
Inverse Uncertainty Quantification (UQ) is a process to quantify the unc...
research
∙
01/05/2018