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March 11, 2021

Building Reproducible, Reusable & Robust Deep Reinforcement Learning Systems | Jöelle Pineau

About This Video

Jöelle Pineau, Computer Scientist and Associate Professor of McGill University and Lead of Facebook’s Artificial Intelligence Research lab talks about challenges that arise in experimental techniques and reporting procedures in deep learning, with a particular focus on reinforcement learning and applications to healthcare. She describes several recent results and guidelines designed to make future results more reproducible, reusable and robust!

In This Video
Director, Meta AI Research Labs