An RL agent generates hard synthetic spatial-reasoning examples to fine-tune VLMs, improving performance on simulated test scenes.
Ash, Chicheng Zhang, Akshay Krishnamurthy, John Langford, and Alekh Agarwal
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RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous Perception
An RL agent generates hard synthetic spatial-reasoning examples to fine-tune VLMs, improving performance on simulated test scenes.