Zhi-Ke Zhu

Framework for Bridge Maintenance Decision-Making Based on Improved Deep Q-Networks

This study proposes a deep reinforcement learning framework for bridge maintenance decision-making and indicates that Prioritized experience replay (PER) Deep Q-Networks (DQN) fits engineering data samples well and shows stronger cost-reduction performance than Double DQN.