Online Feature Selection for Activity Recognition using Reinforcement Learning with Multiple Feedback. - Taku Yamagata; Raúl Santos-Rodríguez; Ryan McConville; Atis Elsts (CoRR, 2019)

Model-Based Reinforcement Learning for Type 1 Diabetes Blood Glucose Control. - Taku Yamagata; Aisling Ann O'Kane; Amid Ayobi; Dmitri S. Katz; Katarzyna Stawarz; Paul Marshall; Peter A. Flach; Raúl Santos-Rodríguez (AAI4H@ECAI, 2020)

Model-Based Reinforcement Learning for Type 1Diabetes Blood Glucose Control. - Taku Yamagata; Aisling Ann O'Kane; Amid Ayobi; Dmitri S. Katz; Katarzyna Stawarz; Paul Marshall; Peter A. Flach; Raúl Santos-Rodríguez (CoRR, 2020)

Machine Learning Explanations as Boundary Objects: How AI Researchers Explain and Non-Experts Perceive Machine Learning. - Amid Ayobi; Katarzyna Stawarz; Dmitri S. Katz; Paul Marshall; Taku Yamagata; Raúl Santos-Rodríguez; Peter A. Flach; Aisling Ann O'Kane (IUI Workshops, 2021)

Reinforcement Learning with Feedback from Multiple Humans with Diverse Skills. - Taku Yamagata; Ryan McConville; Raúl Santos-Rodríguez (CoRR, 2021)

Co-Designing Personal Health? Multidisciplinary Benefits and Challenges in Informing Diabetes Self-Care Technologies. - Amid Ayobi; Katarzyna Stawarz; Dmitri S. Katz; Paul Marshall; Taku Yamagata; Raúl Santos-Rodríguez; Peter A. Flach; Aisling Ann O'Kane (Proc. ACM Hum. Comput. Interact., 2021)

Understanding Reinforcement Learning Based Localisation as a Probabilistic Inference Algorithm. - Taku Yamagata; Raúl Santos-Rodríguez; Robert J. Piechocki; Peter A. Flach (ICANN (2), 2022)

Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL. - Taku Yamagata; Ahmed Khalil; Raúl Santos-Rodríguez (ICML, 2023)

When the Ground Truth is not True: Modelling Human Biases in Temporal Annotations. - Taku Yamagata; Emma L. Tonkin; Benjamin Arana Sanchez; Ian Craddock; Miquel Perelló-Nieto; Raúl Santos-Rodríguez; Weisong Yang; Peter A. Flach (PerCom Workshops, 2023)

Co-designing opportunities for Human-Centred Machine Learning in supporting Type 1 diabetes decision-making. - Katarzyna Stawarz; Dmitri S. Katz; Amid Ayobi; Paul Marshall; Taku Yamagata; Raúl Santos-Rodríguez; Peter A. Flach; Aisling Ann O'Kane (Int. J. Hum. Comput. Stud., 2023)

Safe and Robust Reinforcement Learning: Principles and Practice. - Taku Yamagata; Raúl Santos-Rodríguez (CoRR, 2024)