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Co-Designing Personal Health? Multidisciplinary Benefits and Challenges in Informing Diabetes Self-Care Technologies.

, , , , , , , and . Proc. ACM Hum. Comput. Interact., 5 (CSCW2): 457:1-457:26 (2021)

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Machine Learning Explanations as Boundary Objects: How AI Researchers Explain and Non-Experts Perceive Machine Learning., , , , , , , and . IUI Workshops, volume 2903 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL., , and . ICML, volume 202 of Proceedings of Machine Learning Research, page 38989-39007. PMLR, (2023)Co-Designing Personal Health? Multidisciplinary Benefits and Challenges in Informing Diabetes Self-Care Technologies., , , , , , , and . Proc. ACM Hum. Comput. Interact., 5 (CSCW2): 457:1-457:26 (2021)When the Ground Truth is not True: Modelling Human Biases in Temporal Annotations., , , , , , , and . PerCom Workshops, page 527-533. IEEE, (2023)Safe and Robust Reinforcement Learning: Principles and Practice., and . CoRR, (2024)Model-Based Reinforcement Learning for Type 1 Diabetes Blood Glucose Control., , , , , , , and . AAI4H@ECAI, volume 2820 of CEUR Workshop Proceedings, page 72-77. CEUR-WS.org, (2020)Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL., , and . CoRR, (2022)Understanding Reinforcement Learning Based Localisation as a Probabilistic Inference Algorithm., , , and . ICANN (2), volume 13530 of Lecture Notes in Computer Science, page 111-122. Springer, (2022)