Deep Reinforcement Learning

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!

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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!

Creators & Guests

Host

Chris Benson

Guest

Adam Stooke

What is Practical AI?

Making artificial intelligence practical, productive & accessible to everyone. Practical AI is a show in which technology professionals, business people, students, enthusiasts, and expert guests engage in lively discussions about Artificial Intelligence and related topics (Machine Learning, Deep Learning, Neural Networks, GANs, MLOps, AIOps, LLMs & more).

The focus is on productive implementations and real-world scenarios that are accessible to everyone. If you want to keep up with the latest advances in AI, while keeping one foot in the real world, then this is the show for you!