Webinar “Knowledge-assisted AI for real-world network infrastructure”

Are you curious about how domain-specific knowledge can help shape AI applications within critical network infrastructures? We’re excited to invite you to our upcoming webinar, “Knowledge-Assisted AI Applications for Real-World Network Infrastructure”, where we’ll discuss potential applications of AI within the unique domains of the AI4REALNET project.

More information, and a link to the mandatory registration form, can be found here.

David & Guillermo present their work at ICAPS

Tomorrow, June 4th, David & Guillermo will present their work at ICAPS. The paper proposes a new way to learn sub-policies that can optimally solve complex tasks expressed in linear temporal logic, even in stochastic environments. They’d love to tell you all about it. Or read our paper here.

BeNeRL 2024 in Amsterdam on June 10th

Together with Maryam Tavakol & Vincent Francois-Lavet, we are organizing the 2024 edition of the Belgian-Netherlands Reinforcement Learning Workshop (BeNeRL) in Amsterdam! It will take place on June 10th, and will be a free event thanks to generous support by the Ellis Unit Amsterdam and the NWO. Registration is required, though.
More info & sign-up at the event website.

Jin’s paper was accepted to SIGIR

“Going Beyond Popularity and Positivity Bias: Correcting for Multifactorial Bias in Recommender Systems” by Jin Huang, Harrie Oosterhuis, Masoud Mansoury, Maarten de Rijke, and me, was accepted for presentation in SIGIR!