Beyond Safe Execution: Safe Online Reinforcement Learning for Autonomous Driving with Value Calibration and Adaptive Guidance
Safe Online Adaptive Refinement (SOAR-Flow), a framework for safe and stable online fine-tuning of offline-initialized Flow-based driving policies, introduces Gaussian-return-aware value calibration based on calibrated Q-learning (Cal-QL), to support stable policy updates.