Valerant: Automatic 3D Game Map Generator
A team from arXiv introduced Valerant, a novel framework that turns pretrained action-conditioned world models into World Action Models (WAMs) for generating and exploring 3D game maps. Unlike existing approaches which rely on external policies and reward functions in 2D visual observation space, Valerant uses predictive visual rollouts combined with Simultaneous Localization and Mapping (SLAM)…
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Key points
- Valerant transforms pretrained action-conditioned world models into WAMs
- Combines predictive visual rollouts with SLAM-based spatial reconstruction
- Automates 3D game map creation by reducing manual effort
Read the original at arXiv cs.AI · by Yiran Qiao, Feng Wang, Jing Ma primary source Open source ↗
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ValerantAction-Conditioned World Model
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