Sometimes You Gotta Run Before You Can Walk: Run-then-Walk Scheduling Strategy for VLM Autonomous Driving
Overview
A new research proposes a 'Run-then-Walk' scheduling strategy for VLM-based autonomous driving, improving performance and convergence speed by separating progress discovery and safety repair in reinforcement learning methods. Validated on multiple benchmarks with reduced training epochs. (arXiv, 2026-10-09).
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- arXiv Robotics — research abstractsSometimes You Gotta Run Before You Can Walk: Run-then-Walk Scheduling Strategy for VLM Autonomous Driving
This research proposes a two-stage reward scheduling strategy called 'Run-then-Walk' for VLM-based autonomous driving planners. It addresses the limitations of existing GRPO-style reinforcement learning methods by separating progress discovery and safety repair. The approach achieves better performance and faster convergence, validated on multiple benchmarks with reduced training epochs.
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