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