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Official release of the model checkpoints from the paper:
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**Neural Motion Simulator: Pushing the Limit of World Models in Reinforcement Learning**
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Chenjie Hao\*, Weyl Lu\*, Yifan Xu, Yubei Chen†
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*UC Davis*, *Open Path AI Foundation*
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📧 {cjhao, adslu, ybchen}@ucdavis.edu, yifan.xu@openpathai.com
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Official release of the model checkpoints from the paper:
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**Neural Motion Simulator: Pushing the Limit of World Models in Reinforcement Learning**
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The released model consists of two parts: the main world model (MoSim model) and a flow model used to implement the functionality described in Section 3.7 of the paper.
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All MoSim models are trained exclusively on data collected from random policies.
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