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Reinforcement learning for formula 1 race strategy: Understand how deep q-networks learn to decide pit stops like alphago learns to play go. 2020. |
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Abaimov, S., & Martellini, M. (2020). Cyber arms: Security in cyberspace. CRC Press, Taylor & Francis Group. |
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Abbass, H. A., Scholz, J., & Reid, D. J. (2018). Foundations of trusted autonomy. Springer International Publishing. |
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Abbass, H. A. (2019). Social integration of artificial intelligence: Functions, automation allocation logic and human-autonomy trust. Cognitive Computation, 11(2), 159–171. |
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Abderhalden, N. (2022). risk hindered decision making: how the dod’s faulty understanding of risk jeopardizes its strategy. The Strategy Bridge, |
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Abiteboul, S., Dowek, G., & Nelson, K. R. (2020). The age of algorithms. Cambridge University Press. |
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Acton, J. M. (2018). Escalation through entanglement: How the vulnerability of command-and-control systems raises the risks of an inadvertent nuclear war. International Security, 43(1), 56–99. |
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Adadi, A., & Berrada, M. (2018). Peeking inside the black-box: A survey on explainable artificial intelligence (xai). IEEE Access, 6, 52138–52160. |
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Agadakos, I., Agadakos, N., Polakis, J., & Amer, M. R. 2020, Chameleons' oblivion: Complex-valued deep neural networks for protocol-agnostic rf device fingerprinting. Paper presented at 2020 IEEE European Symposium on Security and Privacy (EuroS&P). |
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Agarwal, R. K. (2018). Advances in some hypersonic vehicles technologies. IntechOpen. |
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Agency, D. I. (2019). Challenges to security in space. Independently Published. |
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