RynnValue shows that timestamp-derived temporal distance can replace preference labels for robotic value models, slightly beating a preference-supervised baseline on RBM-EVAL-OOD.
LeRobot: State-of-the-art machine learning for real-world robotics in PyTorch.https://github.com/huggingface/lerobot, 2024
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RynnValue: Scaling Robotic Value Foundation Models with Temporal Distance
RynnValue shows that timestamp-derived temporal distance can replace preference labels for robotic value models, slightly beating a preference-supervised baseline on RBM-EVAL-OOD.