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Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents., , , , , , , , , and 7 other author(s). NeurIPS Datasets and Benchmarks, (2021)Fast Sequences of Non-spatial State Representations in Humans, , , and . Neuron, 91 (1): 194--204 (May 30, 2017)Temporal structure in associative retrieval, , , , and . eLife, (Jan 23, 2015)Episodic Control through Meta-Reinforcement Learning., , , and . CogSci, cognitivesciencesociety.org, (2018)Reinforcement Learning, Fast and Slow, , , , , and . Trends in Cognitive Sciences, 23 (5): 408--422 (May 2019)Local striatal reward signals can be predicted from corticostriatal connectivity, , , , and . NeuroImage, (October 2017)Learning to reinforcement learn., , , , , , , , and . CogSci, cognitivesciencesociety.org, (2017)Meta-learning of Sequential Strategies., , , , , , , , , and 14 other author(s). CoRR, (2019)Learning to reinforcement learn, , , , , , , , and . (2016)cite arxiv:1611.05763Comment: 17 pages, 7 figures, 1 table.Been There, Done That: Meta-Learning with Episodic Recall., , , , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 4351-4360. PMLR, (2018)