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Ziyad Sheebaelhamd

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@sheebaelhamd

PhD student at the University of Tübingen | Prev @ETH.
Working on RL.
ziyadsheeba.github.io Joined August 2022
348 Following 42 Followers 20 Posts

Latest posts 2

Ziyad Sheebaelhamd Verified account @sheebaelhamd
Turns out robot flow policies are Gaussians in disguise 🥸🔔

A tiny Gaussian head, nearly the same success, and up to 2× faster inference.

Really fun project!
Youssef Saied Verified account @YoussefMMSaied Oct 30
1/8) Flow policies are Gaussian 😮

We replace their last layer with a Gaussian head fit on 0.02% of data:
• Similar task success
• Up to 2x faster inference
• Closed-form likelihoods

And behavior can still be diverse via diffusion in physical time.
(Xiaomi-Robotics-1, GR00T)
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Ziyad Sheebaelhamd Verified account @sheebaelhamd
1/

Real-world data is messy. In robotics and LLMs, datasets are built by hundreds of humans with completely different, often conflicting preferences.
How do you do Imitation Learning when your "experts" have contrasting goals? Enter Multi-Objective Imitation: 🧵