About this episode
While attending the NVIDIA GPU Technology Conference in Silicon Valley, Chris met up with Adam Stooke, a speaker and PhD student at UC Berkeley who is doing groundbreaking work in large-scale deep reinforcement learning and robotics. Adam took Chris on a tour of deep reinforcement learning - explaining what it is, how it works, and why it’s one of the hottest technologies in artificial intelligence! Join the discussion Changelog++ members support our work, get closer to the metal, and make the ads disappear. Join today! Sponsors: DigitalOcean – Check out DigitalOcean’s dedicated vCPU Droplets with dedicated vCPU threads. Get started for free with a $100 credit. Learn more at do.co/changelog . O'Reilly Open Source Software Conference – OSCON has been ground zero for the open source community for 20 years. This year they’ve expanded to become a “software development conference” — because in 2019, software development IS open source. The program covers everything from open source, AI, infrastructure, blockchain, edge computing, architecture, and emerging languages. Use the code CHANGELOG20 to get 20% off Bronze, Silver, and Gold passes. Fastly – Our bandwidth partner. Fastly powers fast, secure, and scalable digital experiences. Move beyond your content delivery network to their powerful edge cloud platform. Learn more at fastly.com . GitPrime – Download GitPrime’s 20 Patterns book , a field guide to help engineering managers recognize achievement, spot bottlenecks, and debug development processes with data. Featuring: Adam Stooke – GitHub , LinkedIn , X Chris Benson – Website , GitHub , LinkedIn , X Show Notes: NVIDIA GTC: Doing More with More: Recent Achievements in Large-Scale Deep Reinforcement Learning Accelerated Methods for Deep Reinforcement Learning Accelerated Methods for Deep Reinforcement Learning - code OpenAI Five - Dota 2 AlphaStar: Mastering the Real-Time Strategy Game StarCraft II NVIDIA Graduate Fellowship Crunchbase The Hertz Foundation Something missing or broken? PRs welcome!