Virtual World

Virtual worlds are increasingly sophisticated digital environments aiming to replicate or augment aspects of the real world, focusing on interactive experiences and seamless integration with physical spaces. Current research emphasizes efficient world generation techniques, including novel scene representations (e.g., Gaussian Surfels) and generative models leveraging large language models and text-to-image approaches, alongside improved agent navigation and exploration strategies using reinforcement learning frameworks like actor-critic models. This field is significant for its potential to advance cognitive science through virtual embodied agents, enhance human-computer interaction, and create new applications in gaming, remote collaboration, and other areas requiring immersive, interactive experiences.