"Achieving efficient interpretability of reinforcement learning via policy ..."

Jinwei Xing et al. (2023)

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DOI: 10.1016/J.NEUNET.2023.01.025

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type: Journal Article

metadata version: 2023-04-29

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Jinwei Xing, Takashi Nagata, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar:
Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization. Neural Networks 161: 228-241 (2023)

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