This is stars and forks stats for /nv-tlabs/ASE repository. As of 03 May, 2024 this repository has 578 stars and 89 forks.
Adversarial Skill Embeddings Code accompanying the paper: "ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters" (https://xbpeng.github.io/projects/ASE/index.html) Installation Download Isaac Gym from the website, then follow the installation instructions. Once Isaac Gym is installed, install the external dependencies for this repo: pip install -r requirements.txt ASE Pre-Training First, an ASE model can be trained to imitate a dataset of motions clips using...
Adversarial Skill Embeddings Code accompanying the paper: "ASE: Large-Scale Reusable Adversarial Skill Embeddings for Physically Simulated Characters" (https://xbpeng.github.io/projects/ASE/index.html) Installation Download Isaac Gym from the website, then follow the installation instructions. Once Isaac Gym is installed, install the external dependencies for this repo: pip install -r requirements.txt ASE Pre-Training First, an ASE model can be trained to imitate a dataset of motions clips using...
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