Unverified50% confidenceFactExact time
Marvo is a visual Agent training method that self-evolves from unlabeled images, enabling the Agent to learn to effectively invoke tools without any human supervision.
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10/14/2026
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UnverifiedMarvo's improvement does not come from more annotated data or a larger model, but from the design of the training signal.64% similarUnverifiedMarvo's Margin Reward is defined as the difference in the Solver's performance between using tools and not using tools.63% similarUnverifiedMarvo's design reduces the risks of mode collapse or uncontrolled difficulty that easily arise in self-play, making training more stable and controllable.63% similarUnverifiedDINOv2 is a self-supervised visual pre-training method proposed by Meta that trains a ViT on large-scale unlabeled images via self-distillation, and the learned features have strong linear separability on a variety of downstream tasks.62% similarUnverifiedThe study adopts Multi-Agent Reinforcement Learning (MARL) as the training framework.62% similar
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