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CAML: Fast Context Adaptation via Meta-Learning., , , , and . CoRR, (2018)VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning., , , , , , and . ICLR, OpenReview.net, (2020)A Brief Guide to Multi-Objective Reinforcement Learning and Planning., , , , , , , , , and 8 other author(s). AAMAS, page 1988-1990. ACM, (2023)VariBAD: Variational Bayes-Adaptive Deep RL via Meta-Learning., , , , , , , , and . J. Mach. Learn. Res., (2021)Interactive Multi-objective Reinforcement Learning in Multi-armed Bandits with Gaussian Process Utility Models., , , , , and . ECML/PKDD (3), volume 12459 of Lecture Notes in Computer Science, page 463-478. Springer, (2020)Optimizing piano practice with a utility-based scaffold., , , , and . CoRR, (2021)A practical guide to multi-objective reinforcement learning and planning., , , , , , , , , and 8 other author(s). Auton. Agents Multi Agent Syst., 36 (1): 26 (2022)Disability-first Dataset Creation: Lessons from Constructing a Dataset for Teachable Object Recognition with Blind and Low Vision Data Collectors., , , , , , , and . ASSETS, page 27:1-27:12. ACM, (2021)Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients., , , , , , and . ICLR, OpenReview.net, (2022)Deep Variational Reinforcement Learning for POMDPs., , , , and . ICML, volume 80 of Proceedings of Machine Learning Research, page 2122-2131. PMLR, (2018)