2 citations · 2 across the 2 of their papers we have counts for
3 papers
pH-RL: A personalization architecture to bring reinforcement learning to health practice
Ali el Hassouni, Mark Hoogendoorn, Marketa Ciharova +5
While reinforcement learning (RL) has proven to be the approach of choice for tackling many complex problems, it remains challenging to develop and deploy RL agents in real-life sc…
Mixing Consistent Deep Clustering
Daniel Lutscher, Ali el Hassouni, Maarten Stol +1
Finding well-defined clusters in data represents a fundamental challenge for many data-driven applications, and largely depends on good data representation. Drawing on literature r…
A clustering-based reinforcement learning approach for tailored personalization of e-Health interventions
Ali el Hassouni, Mark Hoogendoorn, Martijn van Otterlo +3
Personalization is very powerful in improving the effectiveness of health interventions. Reinforcement learning (RL) algorithms are suitable for learning these tailored interventio…