Shypd.aiThe largest open index of AI toolsASE (Adversarial Skill Embeddings) is a codebase for training reusable controllers for physically simulated characters. It enables the creation of adversarial skill embeddings for robust character animation and task-specific high-level control.
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ASE is a codebase designed for training reusable controllers for physically simulated characters, leveraging adversarial skill embeddings. It allows users to train models to imitate motion datasets, such as humanoids performing sword and shield actions, and to get up after falling. Beyond pre-training, ASE supports task-specific high-level controller training for various actions like reaching, heading, location, and striking. The codebase also includes an implementation of Adversarial Motion Priors (AMP) for imitating reference motions. It provides pre-trained models and tools for visualizing motion data, making it a valuable resource for researchers and developers in character animation and reinforcement learning.
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