Google Research

Gabriel Dulac-Arnold


Gabriel first joined Google a Research Scientist at DeepMind where he worked on bringing reinforcement learning into real-world problems. While there he worked on many Google-related problems, namely reducing the energy usage of Google data centers using reinforcement learning. At Brain, Gabriel now works on general problems related to using reinforcement learning in real-world systems, and more generally in algorithmic barriers to wider adoption of machine learning in real systems.

Learn more about how we do research

We maintain a portfolio of research projects, providing individuals and teams the freedom to emphasize specific types of work