$ show world-action-models/awesome-world-action-models
── AI DEEP ANALYSIS ──
This repository is a curated survey of research papers on World Action Models (WAM), maintained as a living list in a single README.md file. It categorizes 109 papers into three families: Render-and-Decode, Latent-Only, and Video-Generation-Free, with each entry including publication date, title, backbone, substrate, and a one-line summary. The repository serves as a reference resource for researchers in robotics and embodied AI, providing a structured overview of recent advances in WAM methodologies. While it contains no executable code or data processing pipelines, it is actively updated via community contributions through pull requests.
── METRICS ──
RATING8.2/10
QUALITY7.5/10
MAINTENANCEactive
DRIFTlow
REPRODUCIBILITY8.5/10
CONTRIBUTORS1
VELOCITY0.64
OPEN ISSUES0
LAST COMMIT3 weeks ago
── TAGS ──
── FILE BREAKDOWN ──
Files by Type (count)
Files by Type (size)
── HISTORY ──
Last analyzed: 2026-08-04 03:20:33.078716
Next check: 2026-09-25 04:31:06.026041