CoPark: Learning Reactive Parking via Self-Play
CoPark learns reactive autonomous parking by combining a fixed geometric plan with a residual policy that handles real-time interactions. It uses self-play to train the policy, allowing it to learn safe, precise maneuvers despite conflicting goals. The key innovation is modulating how the policy relies on its precomputed plan based on immediate threats from nearby vehicles.