"ATA: An Abstract-Train-Abstract approach for explanation-friendly deep ..."

Shi Peng et al. (2025)

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DOI: 10.1016/J.NEUNET.2025.107749

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type: Journal Article

metadata version: 2025-11-15

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Shi Peng, Si Liu, Dapeng Zhi, Peixin Wang, Chenyang Xu, Cheng Chen, Min Zhang:
ATA: An Abstract-Train-Abstract approach for explanation-friendly deep reinforcement learning. Neural Networks 190: 107749 (2025)

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