Taku Yamagata

According to our database, Taku Yamagata authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Safe and Robust Reinforcement Learning: Principles and Practice.

Taku Yamagata, Raúl Santos-Rodríguez

CoRR, 2024

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., May, 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

Proceedings of the IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events, 2023

Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL.

Taku Yamagata, Ahmed Khalil, Raúl Santos-Rodríguez

Proceedings of the International Conference on Machine Learning, 2023

2022

Understanding Reinforcement Learning Based Localisation as a Probabilistic Inference Algorithm.

Taku Yamagata, Raúl Santos-Rodríguez, Robert J. Piechocki, Peter A. Flach

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2022, 2022

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

Reinforcement Learning with Feedback from Multiple Humans with Diverse Skills.

Taku Yamagata, Ryan McConville, Raúl Santos-Rodríguez

CoRR, 2021

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

Proceedings of the Joint Proceedings of the ACM IUI 2021 Workshops co-located with 26th ACM Conference on Intelligent User Interfaces (ACM IUI 2021), 2021

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

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

Proceedings of the First International AAI4H, 2020

2019

Online Feature Selection for Activity Recognition using Reinforcement Learning with Multiple Feedback.

Taku Yamagata, Raúl Santos-Rodríguez, Ryan McConville, Atis Elsts

CoRR, 2019