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

1 年前
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(基於 PinQueue 指標)
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❤️ Their mentioned post is available here (thank you Soumik!): http://wandb.me/ASE

📝 The paper "ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters" is available here:
https://nv-tlabs.github.io/ASE/

📝 Our material synthesis paper with the latent space is available here:
https://users.cg.tuwien.ac.at/zsolnai/gfx/gaussian-material-synthesis/

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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

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(基於 PinQueue 指標)