Logistics Networks

2 items

ARTICLEDEV.to AI·5/10/2026

Cross-Modal Knowledge Distillation for wildfire evacuation logistics networks under real-time policy constraints

The author describes a personal journey into cross-modal knowledge distillation for wildfire evacuation logistics networks, driven by memories of the 2020 California wildfires. They explore how AI can integrate satellite imagery with real-time policy constraints for disaster response.

AI models wildfire evacuation Cross-Modal Knowledge Distillation Logistics Networks

RESEARCHDEV.to AI·4/12/2026

Explainable Causal Reinforcement Learning for wildfire evacuation logistics networks in carbon-negative infrastructure

This research focuses on overcoming the limitations of standard Reinforcement Learning models in optimizing wildfire evacuations. The author applies causal inference, inspired by Judea Pearl and Bernhard Schölkopf, to address inexplicable recommendations and confounding variables.

wildfire evacuation reinforcement learning Explainable AI Causal Reinforcement Learning