World Models: Understanding, Modelling and Scaling

Our workshop covers the widest range of topics related to World Models, including understanding, modelling, and closely aligning with cutting-edge generative AI and broader applications such as robotics and embodied AI. We are glad to announce that nine confirmed top-tier researchers including the founder of world models have confirmed to attend in person as speakers and panelists. The workshop widely targets AI researchers, industry professionals, and students interested in World Models, generative AI, reinforcement learning and related applications. Participants should have a basic understanding of generative models and reinforcement learning concepts. Familiarity with recent advancements in both fields will be beneficial but not mandatory. We also welcome submissions from researchers in the natural sciences (e.g., physics,chemistry, biology) and social sciences (e.g., pedagogy, sociology) to offer attendees a more comprehensiveperspective. In summary, our topics of interest mainly include, but are not limited to:- Understanding World Rules;- World model training and evaluation;- Scaling World Models across language, vision, and control;- World Models in general domains.For the contributed paper sessions, regarding the recent surge in publications in related areas and the success of similar workshops, we project over 250 paper submissions and over 1,500 participants.