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RLinf v0.4 released: open-source training framework upgrade for embodied reinforcement learning

RLinf, an open-source training framework for embodied reinforcement learning developed by Tsinghua University, Infinigence AI, and the Beijing Zhongguancun Academy, has officially released v0.4, with updates across four areas: a Lego-style real-machine system, real-machine post-training algorithms, full-modality model support, and a domestic computing power foundation.

Part of the event: RLinf v0.4 released, upgrading real-robot training and domestic compute support

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