Hierarchical Clustering Based State Abstraction In Reinforcement Learning

Reinforcement learning (RL) has grown tremendously over one and a half decades and is increasingly emerging in many real-life applications. However, the application of RL is still limited due to its low training efficiencies and surplus training cost. The sampling and computation complexity normally depends on the size of the state space and...

FairData: A system to explore datasets as a tool to let data-centric researchers become aware of bias

Data-centric research is all about trying to obtain useful insights on products that its researchers trying to create/design by collecting usage data on their prototypes. This type of research, usually performed by data-scientist, make use of machine learning techniques in order to improve any system or product that makes use of automated...

The making of a smart pillow: Designing an object with intent through a data-enabled design process

Leisure is defined by the Cambridge dictionary as: “The time when you are not working or doing other duties.” During this time, people engage in a broad variety of activities. They engage in these activities because they want to and because it makes them happy in some way. Newman et al (2013) researched the underlying psychological pathways by...

Understanding the values in the context of Wi-Fi access data

For data-intensive research, Wi-Fi access data has become an important source since it’s low-cost, convenient and rich in information. It is mainly used to study people’s movement and then used to infer individuals’ or a group of people’s behavior pattern. The application of the research result is also common. It could be used to do interior...