Fast Numerical Program Analysis with Reinforcement Learning
CAV, pp. 211-229, 2018.
EI
Abstract:
We show how to leverage reinforcement learning (RL) in order to speed up static program analysis. The key insight is to establish a correspondence between concepts in RL and those in analysis: a state in RL maps to an abstract program state in analysis, an action maps to an abstract transformer, and at every state, we have a set of sound ...More
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