9 citations · 11 across the 5 of their papers we have counts for
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cs.LG2026
Video World Models Need Predictable Latents
Mattia Scardecchia, Sherry Yang
Video world models trained on large-scale robot data promise a safe and scalable approach for learning and evaluating policies that act in the physical world. However, they still s…
cs.LG2024★ 1 cited
Code as Reward: Empowering Reinforcement Learning with VLMs
David Venuto, Sami Nur Islam, Martin Klissarov +3
Pre-trained Vision-Language Models (VLMs) are able to understand visual concepts, describe and decompose complex tasks into sub-tasks, and provide feedback on task completion. In t…