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.