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Machine Learning Explanations as Boundary Objects: How AI Researchers Explain and Non-Experts Perceive Machine Learning., , , , , , , и . IUI Workshops, том 2903 из CEUR Workshop Proceedings, CEUR-WS.org, (2021)Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL., , и . ICML, том 202 из Proceedings of Machine Learning Research, стр. 38989-39007. PMLR, (2023)Model-Based Reinforcement Learning for Type 1 Diabetes Blood Glucose Control., , , , , , , и . AAI4H@ECAI, том 2820 из CEUR Workshop Proceedings, стр. 72-77. CEUR-WS.org, (2020)Co-Designing Personal Health? Multidisciplinary Benefits and Challenges in Informing Diabetes Self-Care Technologies., , , , , , , и . Proc. ACM Hum. Comput. Interact., 5 (CSCW2): 457:1-457:26 (2021)Co-designing opportunities for Human-Centred Machine Learning in supporting Type 1 diabetes decision-making., , , , , , , и . Int. J. Hum. Comput. Stud., (мая 2023)When the Ground Truth is not True: Modelling Human Biases in Temporal Annotations., , , , , , , и . PerCom Workshops, стр. 527-533. IEEE, (2023)Safe and Robust Reinforcement Learning: Principles and Practice., и . CoRR, (2024)Online Feature Selection for Activity Recognition using Reinforcement Learning with Multiple Feedback., , , и . CoRR, (2019)Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL., , и . CoRR, (2022)Reinforcement Learning with Feedback from Multiple Humans with Diverse Skills., , и . CoRR, (2021)