OpenWAM: An Open, Modular Exploration Towards Systematic World-Action Model Pretraining
This paper introduces OpenWAM, an open framework for pretraining world-action models, which inherit knowledge from video-generative priors and generate executable control signals. Practitioners may care about OpenWAM because it provides a modular and controlled way to experiment with different design choices and evaluate their impact.