Learning Heuristics for Automated Reasoning through Reinforcement Learning

ICLR 2019 Gil LedermanMarkus N. RabeEdward A. LeeSanjit A. Seshia

We demonstrate how to learn efficient heuristics for automated reasoning algorithms through deep reinforcement learning. We focus on backtracking search algorithms for quantified Boolean logics, which already can solve formulas of impressive size - up to 100s of thousands of variables... (read more)

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