This repository curates research papers on end-to-end autonomous driving, where neural networks map sensor inputs (RGB, LiDAR) directly to vehicle control commands (steering, throttle, brake). The list covers methods using imitation learning, reinforcement learning, and behavioral cloning trained on simulators such as CARLA. Papers are organized by venue (CVPR, NeurIPS, ICLR, CoRL) and year.