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"Adversarial Attacks Against Reinforcement Learning Based Tactical ..."

Johannes F. Loevenich et al. (2022)

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DOI: 10.1109/MILCOM55135.2022.10017788

access: closed

type: Conference or Workshop Paper

metadata version: 2023-03-21

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Johannes F. Loevenich, Jonas Bode, Tobias Hürten, Luca Liberto, Florian Spelter, Paulo H. L. Rettore, Roberto Rigolin Ferreira Lopes:
Adversarial Attacks Against Reinforcement Learning Based Tactical Networks: A Case Study. MILCOM 2022: 986-992

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