SKILL: Self-correcting Knowledge-guided Iterative Large Language Model Agent for Logic Optimization
英文标题：SKILL: Self-correcting Knowledge-guided Iterative Large Language Model Agent for Logic Optimization
arXiv:2608.14579v1 Announce Type: new Abstract: Logic synthesis optimization poses significant challenges due to exponentially growing search spaces, sparse reward signals, and diverse logic structures. Traditional expert-designed flows lack adaptability, while reinforcement learning (RL) methods o
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arXiv:2608.14579v1 Announce Type: new Abstract: Logic synthesis optimization poses significant challenges due to exponentially growing search spaces, sparse reward signals, and diverse logic structures. Traditional expert-designed flows lack adaptability, while reinforcement learning (RL) methods o
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