Daniel Furelos-Blanco
Machine Learning Intern @ Epic Games.
I am a Machine Learning Intern at Epic Games, working on the use of foundation models to improve and create new gameplay experiences. I hold a Ph.D. in Computing from Imperial College London, where my research focused on reinforcement learning (RL) agents that can learn and exploit structured task representations in the form of finite-state machines, including work on their hierarchical composition. During my PhD, I also interned at InstaDeep, working on RL for combinatorial optimization.
After my PhD, I was a Research Associate at Imperial College London, where I continued working on finite-state machine task representations for RL — exploring new directions including autocurricula for training generalizable agents, first-order logic task representations, and learning representations from noisy observations — and co-supervised PhD and MSc students before joining Epic Games.