Reinforcement learning with surrogate models optimizes multigroup energy structures for 1D spherical k-criticality problems and outperforms standard structures on Godiva and BeRP test cases.
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Application of Reinforcement Learning for Multigroup Energy Grid Optimization for Neutron Transport Criticality Problems
Reinforcement learning with surrogate models optimizes multigroup energy structures for 1D spherical k-criticality problems and outperforms standard structures on Godiva and BeRP test cases.