Fast Numerical Program Analysis with Reinforcement Learning

Gagandeep Singh
Gagandeep Singh

CAV, pp. 211-229, 2018.

Cited by: 12|Views2
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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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