"Learning and Repair of Deep Reinforcement Learning Policies from ..."

Martin Tappler et al. (2024)

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DOI: 10.1145/3597503.3623311

access: open

type: Conference or Workshop Paper

metadata version: 2024-12-09

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  - conf/icse/TapplerPAK24
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Martin Tappler, Andrea Pferscher, Bernhard K. Aichernig, Bettina Könighofer:
Learning and Repair of Deep Reinforcement Learning Policies from Fuzz-Testing Data. ICSE 2024: 6:1-6:13

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