closed-loop-learning

DriveZero is an end-to-end autonomous driving system that combines a vision foundation model for perception with reinforcement learning for action, achieving driving behaviors beyond human demonstrations and state-of-the-art performance on benchmarks like nuPlan and NAVSIM.

MMG2Skill converts web-based procedural guides into executable skills for agents through closed-loop learning, improving performance across GUI control, gameplay, and card play tasks with macro-average gains of +12.8 to +25.3 percentage points.