PeterLiZijia/nfwm

NFWM World-Model Datasets Current training and evaluation artifacts for NFWM, LeWM, and SMWM comparisons. The four standard environments use episode-disjoint SMWM-style splits; Teleport uses V5 exact-goal training and Fixed-Y evaluation; LIBERO uses the regenerated white-mug training set and fixed pi0.5 noisy candidate pool. Stochastic Boxing uses the unchanged 50% P2-replacement dataset and the shared model implementation. Pretrained Models The checkpoint index… See the full description on the dataset page: https://huggingface.co/datasets/PeterLiZijia/nfwm.

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