most citedMechanistic interpretability for steering vision-language-action models

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cs.CV2025

Gaze on the Prize: Shaping Visual Attention with Return-Guided Contrastive Learning

Andrew Lee, Ian Chuang, Dechen Gao +2

Visual Reinforcement Learning (RL) agents must learn to act based on high-dimensional image data where only a small fraction of the pixels is task-relevant. This forces agents to w…

cs.CV2025

VITA: Vision-to-Action Flow Matching Policy

Dechen Gao, Boqi Zhao, Andrew Lee +6

Conventional flow matching and diffusion-based policies sample via iterative denoising from standard noise distributions (e.g., Gaussian), and require conditioning modules to repea…