Reinforcement learning boasts a substantial history predating the recent surge in deep learning. Reinforcement learning is learning what to do—how … More
Author: Silvia Tulli
I am Assistant Professor working on Explainable Intelligent Agents.
ICRA 2023: Explainable Robotics Workshop
After being able to take part in a few in-person conferences at the beginning of my PhD, such as AAMAS … 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
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 … More
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