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This work is supported by the BNSF (Grant 24QY0211), the NSFC (Grant 62306309, U23B2054) and the NKRDPC (Grant 2023YFF0904700). (Corresponding author: Xingqun Qi
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Forget painstakingly collecting robot data in the real world – this interactive world simulator lets you train policies that perform just as well, but entirely in simulation.
