Dagstuhl Seminar on Explainable AI for Sequential Decision Making

Three days at the Dagstuhl seminar on Explainable AI for Sequential Decision Making have just ended. Thanks to Abhinav Verma, … More

Evolutionary Algorithms in a Nutshell

Assisting Stéphane Doncieux with the practicals on Evolutionary Algorithms over the past few years, I had the chance to learn … More

From Reinforcement Learning to Deep Reinforcement Learning

Reinforcement learning boasts a substantial history predating the recent surge in deep learning. Reinforcement learning is learning what to do—how … More

PhD Done: Leveraging Other Experiences Made It Possible

The research I discuss in my thesis can be seen as a meta-reflection of my PhD journey. Leveraging other experiences … More

Learning by Teaching: Sparse Notes on the Protégé Effect

“when we teach, we learn.” Seneca Besides working on my own research, the PhD gave me the chance to teach … More

AAAI 22 – Explainable Agency in Artificial Intelligence Workshop

As last year, this year I co-organized the AAAI-22 Workshop on Explainable Agency in Artificial Intelligence. Despite the amount of time … More

Explaining the Outputs of Transformers Models: A Working Example

Most of the information available worldwide is in text form, from legal documents to medical reports. A variety of deep … More

ANIMATAS Symposium

The Symposium on Human-Machine Interaction: Perception, Social Learning, Personalised Adaptation in Educational Settings has just came to an end. Moderated … More

Inverse Reinforcement Learning from a Gradient-based Learner

While searching for gradient based approaches in Inverse Reinforcement Learning, I came across the recent contribution of Ramponi et al. … More

AAAI 21 – Explainable Agency in Artificial Intelligence Workshop

This year I had the great opportunity to co-organize the AAAI-21 Workshop on Explainable Agency in Artificial Intelligence together with … More