The research I discuss in my thesis can be seen as a meta-reflection of my PhD journey. Leveraging other experiences…
Lessons Learnt
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…
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…
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…
ANIMATAS Symposium
The Symposium on Human-Machine Interaction: Perception, Social Learning, Personalised Adaptation in Educational Settings has just came to an end. Moderated…
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.…
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…
Learning Rewards from Linguistic Feedback
While discussing with my supervisor about how to move forward with our project, he suggested me to look at the…
Bayesian Inverse Reinforcement Learning
In the last couple of months I have been studying Inverse Reinforcement Learning approaches, in particular the work of Ramachandran…
Book: I Am a Strange Loop – Hofstadter
I Am a Strange Loop – Douglas Hofstadter I came across this book after a short exchange of emails about…
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