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Adaptive Decomposition of Time. Proceedings of the International Conference on Artificial Neural Networks 1991 (Espoo, Finland), Amsterdam; New York: North-Holland, (1991)Towards Compositional Learning with Dynamic Neural Networks. Report, FKI-129-90. Institut für Informatik, Technische Universität München, Munich, Germany, (1990)Reinforcement Learning Upside Down: Don't Predict Rewards - Just Map Them to Actions.. CoRR, (2019)Motion Dynamics Improve Speaker-Independent Lipreading., , and . ICASSP, page 4407-4411. IEEE, (2020)Learning Associative Inference Using Fast Weight Memory., , and . CoRR, (2020)How to Learn a Program: Optimal Universal Learners & Goedel Machines.. AAIP, page 11. (2005)A neural network that embeds its own meta-levels.. ICNN, page 407-412. IEEE, (1993)Simple Algorithmic Principles of Discovery, Subjective Beauty, Selective Attention, Curiosity & Creativity.. Discovery Science, volume 4755 of Lecture Notes in Computer Science, page 26-38. Springer, (2007)An Anti-hebbian Learning Rule to Represent Drive Motivations for Reinforcement Learning., , and . SAB, volume 8575 of Lecture Notes in Computer Science, page 176-187. Springer, (2014)Unsupervised Object Keypoint Learning using Local Spatial Predictability., , and . CoRR, (2020)