Explainable Causal Reinforcement Learning for autonomous urban air mobility routing for extreme data sparsity scenarios I remember the moment vividly—it was 3 AM, and I was staring at a reinforcement learning agent that had just crashed 47 simulated drones into virtual skyscrapers. My research into autonomous urban air mobility (UAM) routing had hit a wall. The problem wasn't just complexity; it was the sheer scarcity of real-world data. In traditional autonomous driving, you have millions o...