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Multiagent Learning through Neuroevolution., , , , , , and . WCCI, volume 7311 of Lecture Notes in Computer Science, page 24-46. Springer, (2012)The role of reward structure, coordination mechanism and net return in the evolution of cooperation., , , , and . CIG, page 258-265. IEEE, (2011)Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data., , , , and . CoRR, (2019)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)Evolving Deep LSTM-based Memory Networks using an Information Maximization Objective., and . GECCO, page 501-508. ACM, (2016)Using Both Latent and Supervised Shared Topics for Multitask Learning., , , and . ECML/PKDD (2), volume 8189 of Lecture Notes in Computer Science, page 369-384. Springer, (2013)Backpropamine: training self-modifying neural networks with differentiable neuromodulated plasticity., , , and . ICLR (Poster), OpenReview.net, (2019)Memory Efficient Continual Learning with Transformers., , , , and . NeurIPS, (2022)Continual Learning with Transformers for Image Classification., , , , and . CVPR Workshops, page 3773-3780. IEEE, (2022)