NVIDIA’s New AI Trained For 10 Years! But How? 🤺

❤️ Check out Weights & Biases and sign up for a free demo here: ❤️ Their mentioned post is available here (thank you Soumik!): 📝 The paper “ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters“ is available here: 📝 Our material synthesis paper with the latent space is available here: ❤️ Watch these videos in early access on our Patreon page or join us here on YouTube: - - 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Benji Rabhan, Bryan Learn, B Shang, Christian Ahlin, Eric Martel, Geronimo Moralez, Gordon Child, Ivo Galic, Jace O’Brien, Jack Lukic, John Le, Jonas, Jonathan, Kenneth Davis, Klaus Busse, Kyle Davis, Lorin Atzberger, Lukas Biewald, Matthew Allen Fisher, Michael Albrecht, Michael Tedder, Nevin Spoljaric, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Rajarshi Nigam, Ramsey Elbasheer, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi. If you wish to appear here or pick up other perks, click here: Chapters: 0:00 10 Years of training? 0:42 After 1 week 1:23 After 4 months 1:31 After 2 years 1:55 After 10 years! 2:25 How did they train for 10 years? 3:01 1. Latent spaces 3:52 2. Robust recovery 4:35 3. The controls are 👌 5:01 4. Adversaries 5:57 A great life lesson 6:15 The Third Law of Papers Thumbnail background design: Felícia Zsolnai-Fehér - Károly Zsolnai-Fehér’s links: Instagram: Twitter: Web: ~zsolnai/