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Explainable Planning for Hybrid Systems

ArXiv CS.AI9h ago
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Researchers are advancing explainable planning techniques for hybrid systems that combine discrete and continuous decision-making. This work addresses a critical need as AI-driven automation expands into safety-critical domains like autonomous vehicles and smart grids, where understanding planning decisions becomes essential for trust and regulation.

AI planners now power autonomous systems in safety-critical applications worldwide.

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