An interpretable RL framework generates auditable oblique decision tree policies for optimizing bridge life-cycles from element-level condition state proportions.
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Interpretable Deep Reinforcement Learning for Element-level Bridge Life-cycle Optimization
An interpretable RL framework generates auditable oblique decision tree policies for optimizing bridge life-cycles from element-level condition state proportions.