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Pretraining Representations for Data-Efficient Reinforcement Learning., , , , , , , and . NeurIPS, page 12686-12699. (2021)Reclaiming the Digital Commons: A Public Data Trust for Training Data., , and . AIES, page 855-868. ACM, (2023)Myriad: a real-world testbed to bridge trajectory optimization and deep learning., , , and . NeurIPS, (2022)Harms from Increasingly Agentic Algorithmic Systems., , , , , , , , , and 12 other author(s). FAccT, page 651-666. ACM, (2023)Visibility into AI Agents., , , , , , , , , and 2 other author(s). FAccT, page 958-973. ACM, (2024)Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics., , , , and . ICLR, OpenReview.net, (2023)Metadata Archaeology: Unearthing Data Subsets by Leveraging Training Dynamics., , , , and . CoRR, (2022)In search of robust measures of generalization., , , , , , , and . NeurIPS, (2020)IDs for AI Systems., , , , , , , , , and . CoRR, (2024)