Rough Terrain Path Tracking of an Ackermann Steered Platform using Hybrid Deep Reinforcement Learning

A model-based controller combined with a deep reinforcement learning policy for path tracking across diverse terrains, with rough-terrain assets authored in Blender and exported to OpenUSD. 98.5% precision on unseen real-world tracks.