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Multiagent Learning through Neuroevolution., , , , , , and . WCCI, volume 7311 of Lecture Notes in Computer Science, page 24-46. Springer, (2012)Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data., , , , and . CoRR, (2019)The role of reward structure, coordination mechanism and net return in the evolution of cooperation., , , , and . CIG, page 258-265. IEEE, (2011)Enhanced POET: Open-ended Reinforcement Learning through Unbounded Invention of Learning Challenges and their Solutions., , , , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 9940-9951. PMLR, (2020)Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data., , , , and . ICML, volume 119 of Proceedings of Machine Learning Research, page 9206-9216. PMLR, (2020)Emergence of competitive and cooperative behavior using coevolution., , and . GECCO, page 1073-1074. ACM, (2010)Extreme Miscalibration and the Illusion of Adversarial Robustness., , , , , and . CoRR, (2024)Evolution of Communication in Mate Selection., , and . ALIFE, page 16-22. MIT Press, (2014)General intelligence through prolonged evolution of densely connected neural networks., , , and . GECCO (Companion), page 35-36. ACM, (2014)From Nodes to Networks: Evolving Recurrent Neural Networks., and . CoRR, (2018)