xyzhang368/RLA-WM
Learning Visual Feature-Based World Models via Residual Latent Action This repository contains the dataset artifacts for the paper Learning Visual Feature-Based World Models via Residual Latent Action. Project page | GitHub Dataset Description The primary dataset included here is Maniskill3DWorld, which consists of multi-modal ManiSkill trajectories. It is designed for 3D and multi-view research and includes: 7-camera RGB, depth, and masks Animated robot meshes… See the full description on the dataset page: https://huggingface.co/datasets/xyzhang368/RLA-WM.
| Author / organization | xyzhang368 |
|---|---|
| Downloads | 617 (as reported by Hugging Face) |
| Likes | 0 |
| Created | 9 May 2026 |
| Last updated at source | 3 October 2026 |
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