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Object-based attention for spatio-temporal reasoning: Outperforming neuro-symbolic models with flexible distributed architectures., , , and . CoRR, (2020)Collaborating with Humans without Human Data., , , , and . NeurIPS, page 14502-14515. (2021)Synthetic Returns for Long-Term Credit Assignment., , , , , , , and . CoRR, (2021)Attention over Learned Object Embeddings Enables Complex Visual Reasoning., , , , and . NeurIPS, page 9112-9124. (2021)Rapid Task-Solving in Novel Environments., , , , , and . CoRR, (2020)Learning to reinforcement learn., , , , , , , , and . CogSci, cognitivesciencesociety.org, (2017)Alchemy: A benchmark and analysis toolkit for meta-reinforcement learning agents., , , , , , , , , and 7 other author(s). NeurIPS Datasets and Benchmarks, (2021)Fine-tuning language models to find agreement among humans with diverse preferences., , , , , , , , , and 1 other author(s). NeurIPS, (2022)SIMONe: View-Invariant, Temporally-Abstracted Object Representations via Unsupervised Video Decomposition., , , , , , , and . NeurIPS, page 20146-20159. (2021)Minimum Description Length Control., , , and . ICLR, OpenReview.net, (2023)