Reading list.

Robot Parkour Learning

Train a single neural policy end-to-end with reinforcement learning that enables a low-cost quadruped to climb high obstacles, leap over gaps, crawl under bars, and squeeze through tilted slits — from depth images, with no motion capture and no heuristic gait library.