Deep Q-Network (DQN) implementation for optimal maintenance planning of 100-bridge fleet infrastructure using advanced reinforcement learning techniques and vectorized parallel training.
reinforcement-learning dqn performance-optimization deep-q-learning predictive-maintenance cbm large-scale-optimization structural-health-monitoring parallel-training markov-decision-process prognostics-health-management bridge-maintenance disaster-resilience infrastructure-maintenance-management infrastructure-resilience bridge-fleet vectorized-training high-performance-rl
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Updated
Dec 6, 2025 - Python