SOURCE-LINKED INTELLIGENCE
Latent evolving World Action Model
World Action Models (WAMs) jointly model action generation and environment dynamics and are mostly built on pretrained Video Diffusion Models (VDMs). In VDM-based WAMs, observations are first encoded by a VAE, and the resulting compressed latents are then processed by large video diffusion backbones to extract effective features for action generation. However, this paradigm ties WAM performance and training cost to large-scale video generation pretraining, limiting WAM efficiency and scalability. In this paper, we theoretically and empirically investigate how visual representations affect acti
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-23T07:22:43.000Z
First collected: 2026-09-24T01:22:21.678Z. This is not the publication date.