AINeutralarXiv – CS AI · 14h ago6/10
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A Review of Learning-Based Motion Planning: Toward a Data-Driven Optimal Control Approach
Researchers present a systematic review of Data-Driven Optimal Control (DDOC), a framework that integrates machine learning with traditional control theory for autonomous driving motion planning. The approach aims to bridge the gap between rule-based systems' safety guarantees and learning-based methods' adaptability, proposing implementation across three dimensions: customization, dynamics adaptation, and self-tuning.