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Deceptive games are games where the reward structure or other aspects of the game are designed to lead the agent away from a globally optimal policy.
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Silver, D., Huang, A., Maddison, C.J., Guez, A., Sifre, L., Driessche, G.V.D., Schrittwieser, J., Antonoglou, I., Panneershelvam, V., Lanctot, M., Dieleman, S., Grewe, D., Nham, J., Kalchbrenner, N., Sutskever, I., Lillicrap, T., Leach, M., Kavukcuoglu, K.: Mastering the game of Go with deep neural networks and tree search. Nature 529(7585), 484–489 (2016), http://dx.doi.org/10.1038/nature16961
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Pérez-Liébana, D., Samothrakis, S., Togelius, J., Schaul, T., Lucas, S.M.: Analyzing the robustness of general video game playing agents. In: Computational Intelligence and Games (CIG), 2016 IEEE Conference on. pp. 1–8. IEEE (2016)
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Deb, K., Goldberg, D.E.: Analyzing deception in trap functions
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Yannakakis, G.N., Togelius, J.: Artificial Intelligence and Games. Springer (2018), http://gameaibook.org
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