Vero is a fully open reinforcement learning recipe for training and evaluating multi-task visual reasoning with vision-language models. The released project combines an RL training stack (vero-rl) and ...

AgentEvolver is an end-to-end, self-evolving training framework that unifies self-questioning, self-navigating, and self-attributing into a cohesive system. It empowers agents to autonomously improve ...