Vision-Language Agents Can Learn in Their Own Latent Worlds.

arXiv:2610.36925v1 Announce Type: new Abstract: Learning from experience is essential for building the next generation of agents that continually expand their capabilities. Pretrained vision-language models (VLMs) already internalize rich world knowledge, yet