In the last couple of months I have been studying Inverse Reinforcement Learning approaches, in particular the work of Ramachandran … More
Category: Research
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
Learning with Opponent-Learning Awareness
Learning with Opponent-Learning Awareness (LOLA), introduced by Foerster et al. in 2018, has each agent take into account the anticipated … More
Inter-agent transfer learning
I have been following online the last AAMAS conference and I found particularly interesting the work of Felipe Leno Da … Altro
Policy Gradient Methods for Reinforcement Learning
Considering Actor-Critic for handling the decision making of agents, my colleague and I started an interesting discussion about policy gradient … More
Book: Fooled by Randomness – Taleb
Fooled by Randomness: The Hidden Role of Chance in Life and in the Markets – Nassim Nicholas Taleb Last year … More
