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Improving Generalization in Meta Reinforcement Learning using Learned Objectives., , and . ICLR, OpenReview.net, (2020)Gaussian Mean Field Regularizes by Limiting Learned Information., , , and . Entropy, 21 (8): 758 (2019)Brain-inspired learning in artificial neural networks: a review., , , , , , and . CoRR, (2023)Introducing Symmetries to Black Box Meta Reinforcement Learning., , , , , and . CoRR, (2021)Eliminating Meta Optimization Through Self-Referential Meta Learning., and . CoRR, (2022)Meta Learning Backpropagation And Improving It., and . NeurIPS, page 14122-14134. (2021)Improving Generalization in Meta Reinforcement Learning using Learned Objectives., , and . CoRR, (2019)Framework for Exploring and Understanding Multivariate Correlations., , , , , , , , and . ECML/PKDD (3), volume 10536 of Lecture Notes in Computer Science, page 404-408. Springer, (2017)Discovering Temporally-Aware Reinforcement Learning Algorithms., , , , , and . CoRR, (2024)Learning One Abstract Bit at a Time Through Self-invented Experiments Encoded as Neural Networks., , and . IWAI, volume 1915 of Communications in Computer and Information Science, page 254-274. Springer, (2023)