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multimodal reinforcement learning 1policy alignment 1reward shaping 1visual grounding 1visual intervention 1

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1 paper

cs.CV2026

SIVA-RL: Sensitivity-Invariance Visual Alignment for Multimodal Reinforcement Learning

Cheng Tang, Junzhi Ning, Min Cen +9

The paper presents SIVA-RL, a framework that uses sample-wise visual interventions to align sensitivity and invariance in multimodal reinforcement learning models, leading to bette…