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Exploring deep reinforcement learning

Thomas Simonini, Developer Advocate at Hugging Face, discusses his Deep Reinforcement Learning course and work building AI game agents that combine DRL and NLP for player interaction.

Feb 1 · · primary fetch1 sourceupdated Feb 1 ·

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. 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.com Changelog++ – 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 Face Deep Reinforcement Learning course Upcoming Events…

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  1. share.transistor.fmExploring deep reinforcement learningprimary