Exploring deep reinforcement learning

In addition to being a Developer Advocate at Hugging Face, Thomas Simonini is building next-gen AI in games that can talk and have smart interactions with the player using Deep Reinforcement Learning (DRL) and Natural Language Processing (NLP). He also created a Deep Reinforcement Learning course that takes a DRL beginner to from zero to hero. Natalie and Chris explore what’s involved, and what the implications are, with a focus on the development path of the new AI data scientist.

Join the discussion

Changelog++ members save 3 minutes on this episode because they made the ads disappear. Join today!

Sponsors:

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.comChangelog++ • – You love our content and you want to take it to the next level by showing your support. We’ll take you closer to the metal with no ads, extended episodes, outtakes, bonus content, a deep discount in our merch store (soon), and more to come. Let’s do this • !

Featuring:

• Thomas Simonini – Website • , GitHub • , LinkedIn • , X • Chris Benson – Website • , GitHub • , LinkedIn • , X • Natalie Pistunovich – GitHub • , X Show Notes:

Thomas Simonini | Hugging FaceDeep Reinforcement Learning course Something missing or broken? PRs welcome!