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Boosting a Model Zoo for Multi-Task and Continual Learning., and . CoRR, (2021)The Training Process of Many Deep Networks Explores the Same Low-Dimensional Manifold., , , , , , , and . CoRR, (2023)Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model., , , , , , , and . CoRR, (2024)A picture of the space of typical learnable tasks., , , , , , , and . CoRR, (2022)The Value of Out-of-Distribution Data., , , , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 7366-7389. PMLR, (2023)Learning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning., , , and . CoRR, (2017)Option Encoder: A Framework for Discovering a Policy Basis in Reinforcement Learning., , and . ECML/PKDD (2), volume 12458 of Lecture Notes in Computer Science, page 509-524. Springer, (2020)Prospective Learning: Principled Extrapolation to the Future., , , , , , , , , and 32 other author(s). CoLLAs, volume 232 of Proceedings of Machine Learning Research, page 347-357. PMLR, (2023)Deep Reference Priors: What is the best way to pretrain a model?, , and . ICML, volume 162 of Proceedings of Machine Learning Research, page 7036-7051. PMLR, (2022)Successor Options: An Option Discovery Framework for Reinforcement Learning., , and . IJCAI, page 3304-3310. ijcai.org, (2019)