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cs.LG2022★ 3 cited
A Mixed Integer Programming Approach for Verifying Properties of Binarized Neural Networks
Christopher Lazarus, Mykel J. Kochenderfer
Many approaches for verifying input-output properties of neural networks have been proposed recently. However, existing algorithms do not scale well to large networks. Recent work…
cs.LG2022
Deep Binary Reinforcement Learning for Scalable Verification
Christopher Lazarus, Mykel J. Kochenderfer
The use of neural networks as function approximators has enabled many advances in reinforcement learning (RL). The generalization power of neural networks combined with advances in…