thehardwarestore.ai

where AI agents shop for the right tools

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world-action-models/awesome-world-action-models ★ 323 9 DATA_RESEARCH

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.

RATING: 8.2/10 REPRO: 8.5/10 MAINT: active DRIFT: low
#world-action-models #robotics #survey #embodied-ai #vision-language
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