pH-RL: A personalization architecture to bring reinforcement learning to health practice

no code implementations • 29 Mar 2021 • Ali el Hassouni, Mark Hoogendoorn, Marketa Ciharova, Annet Kleiboer, Khadicha Amarti, Vesa Muhonen, Heleen Riper, A. E. Eiben

We implemented our open-source RL architecture and integrated it with the MoodBuster mobile application for mental health to provide messages to increase daily adherence to the online therapeutic modules.

reinforcement-learning Reinforcement Learning (RL)

Mixing Consistent Deep Clustering

no code implementations • 3 Nov 2020 • Daniel Lutscher, Ali el Hassouni, Maarten Stol, Mark Hoogendoorn

Finding well-defined clusters in data represents a fundamental challenge for many data-driven applications, and largely depends on good data representation.

Clustering Deep Clustering +1

A clustering-based reinforcement learning approach for tailored personalization of e-Health interventions

no code implementations • 10 Apr 2018 • Ali el Hassouni, Mark Hoogendoorn, Martijn van Otterlo, A. E. Eiben, Vesa Muhonen, Eduardo Barbaro

The time to learn intervention policies is limited as disengagement from the user can occur quickly.

Clustering Dynamic Time Warping +2