Pedro Freire

Pedro is a M.Sc. student in Mathematics and Computer Science at Ecole Polytechnique, France. Some of his AI interests include (i) how to make agents better at processing higher-level feedback from humans, and (ii) the development of tools for RL interpretability – in particular to better understand how we can reduce variance and increase sample-efficiency in learning, and have agents with better guarantees of generalization.Other of his interests include interactive theorem proving, software tooling, game development, virtual reality, and human-computer interaction more broadly.

Previously, he worked at Google developing tools for monitoring and performing statistical analysis on the behavior of YouTube video classifiers, and worked at Facebook on the development of Augmented Reality software. He is currently working on benchmarks specialized in evaluating properties of Inverse Reinforcement Learning algorithms.