A deep Q-learning framework with cost-normalized rewards and an annual budget-allocation linear program outperforms LP and GA baselines on a 68,800-segment pavement network.
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Multi-Year Maintenance Planning for Large-Scale Infrastructure Systems: A Novel Network Deep Q-Learning Approach
A deep Q-learning framework with cost-normalized rewards and an annual budget-allocation linear program outperforms LP and GA baselines on a 68,800-segment pavement network.