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Author: Silvia Tulli

I'm a PhD Candidate in Computer Science and Engineering working on Explainable, Transparent Autonomous Agents as part of the ANIMATAS ITN H2020 project.

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

Bayesian Inverse Reinforcement Learning

In the last couple of months I have been studying Inverse Reinforcement Learning approaches, in particular the work of Ramachandran … More

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 … More

Learning to Summarize with Human Feedback

Interesting blog article and diagram from OpenAI.

Book: Peak – Ericsson & Pool

Peak: secrets from the new science of expertise I heard about this book from Mithuna Yoganathan, a PhD student at … More

Dealing with Opponents in Multi-Agent System

As a step towards efficient transfer learning between two opponent agents, my colleagues and I encountered one of the most … More

Developmental Robotics and Reinforcement Learning: Glossary

Moravec’s paradox: “The deliberate process we call reasoning is, I believe, the thinnest veneer of human thought, effective only because … More

Guidelines for Systematic Literature Reviews

Journals take a significant amount of time to give you a response about your paper, but the reviews are often … More

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