Human-Aligned Decision Transformers Optimize Wildfire Evacuation on Low-Power Hardware

A developer built a human-aligned Decision Transformer for wildfire evacuation logistics, combining transformer sequence modeling with safety-focused reward functions. The system uses offline learning on historical data and a context-aware attention mask to handle unpredictable fire spread. It is designed for low-power autonomous deployments like drone swarms.