This repository provides training code for vision-based agile drone flight using differentiable physics. It implements end-to-end learning where a quadrotor learns to navigate using visual inputs combined with physics-based simulation gradients. The system supports both single-agent and multi-agent swarm tasks, using PyTorch and CUDA for GPU-accelerated training. Accepted by Nature Machine Intelligence 2025.