Explainable Causal Reinforcement Learning for satellite anomaly response operations for low-power autonomous deployments

Explainable Causal Reinforcement Learning for satellite anomaly response operations for low-power autonomous deployments Introduction: The Anomaly That Changed My Perspective It was 3 AM when I first witnessed a satellite anomaly that conventional AI couldn't explain. I was working with a research team monitoring a constellation of low-power CubeSats when one of them began exhibiting strange power fluctuations. Our standard reinforcement learning agent had been trained to optimize power usage, b