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arXiv1d ago
5.0

Reward Design for Physical Reasoning in Vision-Language Models

Derek Lilienthal, Manisha Mukherjee, Sameera Horawalavithana

View original ↗

Analysis

Viral velocity
low
Implementation gapYES
Novelty7/10
Categorypaper
Topics
rlreasoningmultimodal

Opportunity Brief

Develop a lightweight reward-shaping library specifically for VLMs focused on physics-based tasks. The library should allow users to easily toggle different reward structures for fine-tuning agents on common 3D physics simulators like MuJoCo or IsaacGym.

Suggested repo: physreward

"Make your VLMs actually understand gravity and collision."

Estimated effort: 45h