Angelos Filos

University of Oxford

Angelos Filos is a PhD student in the Department of Computer Science at the University of Oxford, working with Yarin Gal.

Angelos is interested in the mathematical foundations and applications of reinforcement learning for real-world problems. Currently, he focuses on enabling robots to adapt autonomously and efficiently to non-stationary environments. 

Angelos obtained his bachelor's and master's degree from Imperial College London, majoring in Electrical and Electronic Engineering, where he researched "Reinforcement Learning for Portfolio Management".