Jelena Grujic, a post doc researcher of the Artificial Intelligence Lab Brussels, teamed up with Riccardo Gallotti, a researcher at FBK (Fondazione Bruno Kessler), had been playing with an idea for years: can we use Game Theory experiments and Neuroscience models to investigate social and anti-social human behaviour.  In November 2019, their paper was published....Read More

Pieter Libin successfully defended his PhD research on Wednesday 15th April. Because of the social distancing circumstances currently applied to Belgium, Pieter presented his research to a remote jury, via conference call. The defence was broadcasted on YouTube Live. Artificial Intelligence (AI) can support decision makers in managing the COVID-19 crisis across multiple dimensions. However,...Read More

Telenet enters into a strategic partnership with KU Leuven, VUB, ULB and BeCode to enable lifelong learning for their employees Telenet, together with KU Leuven, VUB, ULB and the BeCode programming school, is setting up an ‘Academy for Digital & Data Talent’ to strengthen the digital knowledge and technical skills of their employees through initial and further training as well as...Read More

This year’s first research meeting was led by Ana Bazzan, professor at the Informatics Institute of Universidade Federal do Rio Grande do Sul (UFRGS), in Porto Alegre, Brazil. She has visited The AI Lab for three weeks this winter and introduced her work titled ‘Similar yet Different: the Structure of Social Networks of Characters in...Read More

The AI Lab is proud to welcome the Cuban researchers Yailen Martinez Jimenéz and Jessica Coto Palacio in our institute and assist them in their research. They work together with Ann Nowé, the head of the Artificial Intelligence Lab, on the research titled ‘Multi-Agent Reinforcement Learning Tool for Job Shop Scheduling Problems’. The project focuses...Read More

During last week’s research meeting, Denis Steckelmacher presented his research on Bootstrapped Dual Policy Iteration (BDPI). The PhD student explained his goals and how Sample-Efficient Reinforcement Learning will be employed in this process.Read More