We propose ImitSAT, a branching policy for conflict-driven clause learning (CDCL) solvers based on imitation learning for the Boolean satisfiability problem (SAT). Unlike previous methods that predict ...

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Abstract: We present two novel algorithms for learning formulas in Linear Temporal Logic (LTL) from examples. The first learning algorithm reduces the learning task to a series of satisfiability ...

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Energy Efficiency,Power Consumption,Sign Bit,Energy Consumption,Neural Network,Throughput,Area Overhead,Artificial Neural Network,Analog-to-digital Converter,Combinatorial Optimization Problem,Deep ...