全国の橋梁位置データとOSMの道路を用いた橋梁迂回路計算結果をダウンロードでき ます。ここでの迂回路ルートは，ある橋が通行止めなどで渡れなくなった際に，回り 道をして橋の反対側まで行くルートです。 ここではサンプルデータが直接ダウンロードできます。県別の迂回路データが，説明 資料内に示されたサイトからダウのロードができます。 データは無料で使用することができ，出典を記載することでダウンロードしたデータ や加工したデータを，研究成果や様々な目的応じた検討結果として公表することが可 能です。 Nagai Kohei

Quantile Regression DQN implementation for bridge fleet maintenance optimization using Markov Decision Process. Migrated from C51 distributional RL (v0.8) with 200 quantiles and Huber loss. Features: Dueling architecture, Noisy Networks, PER, N-step learning. All 6 maintenance actions show positive returns with 68-78% VaR improvement.

A deep reinforcement learning system for optimizing bridge maintenance decisions across municipal infrastructure fleets, implementing cross-subsidy budget sharing and cooperative multi-agent learning.

Deep Q-Network (DQN) implementation for optimal maintenance planning of 100-bridge fleet infrastructure using advanced reinforcement learning techniques and vectorized parallel training.

Deep Q-Network implementation for optimal bridge maintenance planning using Markov Decision Process formulation with vectorized parallel training. Based on Phase 3 (Vectorized DQN) from dql-maintenance-faster project.

This system analyzes bridge repair method recommendation reports generated by AI agents and visualizes the decision-making pathway from damage → deterioration factors → repair methods as a Decision Tree. It aims to "make the thought process visible."

This project applies self-improving (Agentic) clustering with Bayesian Optimization to bridge maintenance data in some Prefecture, Japan, to automatically identify bridge groups with high maintenance priority.

C51 Distributional DQN (v0.8) for bridge fleet maintenance optimization. Implements categorical return distributions (Bellemare et al., PMLR 2017) with 300x speedup via vectorized projection. Combines Noisy Networks, Dueling DQN, Double DQN, PER, and n-step learning. Validated on 200-bridge fleet: +3,173 reward in 83 min (25k episodes).

Veeam-VBR PowerShell + SCCM: Prevent backup job failures during patch windows. SCCM-integrated or can be ran as standalone from VBR