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SuperMimic-Reproduced

Reproduction of SuperMimic (arXiv:2610.28480): learned differentiable world model + BPTT policy for G1 humanoid motion tracking, on mjlab/MuJoCo Warp

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GITHUB · launched Oct 21, 2026 · 219 upvotes (top 6%)

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Could you build this?

No This reproduces a recent research paper on learned differentiable world models and BPTT policies for humanoid motion tracking. It requires robotics and RL research expertise plus substantial GPU compute, not just application code.

What it would actually take: Reproducing it means implementing a differentiable physics world model, a backpropagation-through-time policy trainer, and motion retargeting on MuJoCo Warp/mjlab for the Unitree G1. It needs researchers who understand the paper's math, large GPU budgets for training, and debugging of gradient instability in long-horizon rollouts.

Competitors

Other products that read as similar to this one : 2306 launches clear the similarity bar, closest 8 shown.

Attention rank: #131 of 2307 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 357 days after the earliest competitor.

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