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Autonomous Reinforcement Learning: Formalism and Benchmarking., , , , , , and . ICLR, OpenReview.net, (2022)Theano: A Python framework for fast computation of mathematical expressions, , , , , , , , , and 103 other author(s). (2016)cite arxiv:1605.02688Comment: 19 pages, 5 figures.Probabilistic Model-Agnostic Meta-Learning., , and . NeurIPS, page 9537-9548. (2018)Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters., , , and . CoRR, (2024)ContMulti-objective Optimization Model for Momentum Change Based on Genetic Algorithm., , , , , , and . ICIC (1), volume 14862 of Lecture Notes in Computer Science, page 134-145. Springer, (2024)Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries., , , , , , , , , and 14 other author(s). CoRR, (2024)Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples, , , , , , , , , and 1 other author(s). (2019)cite arxiv:1903.03096Comment: Code available at https://github.com/google-research/meta-dataset.Towards Adaptive, Continual Embodied Agents. University of California, Berkeley, USA, (2022)Trust-PCL: An Off-Policy Trust Region Method for Continuous Control., , , and . CoRR, (2017)Continual Learning of Control Primitives : Skill Discovery via Reset-Games., , , and . NeurIPS, (2020)