Junyi Zhang @ CoRL

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@junyi42

Ph.D. @Berkeley_AI.
research intern @physical_int.
ex @GoogleDeepMind, @MSFTResearch.
vision, generative model, robotics.

junyi42.com Joined July 2022

581 Following 3K Followers 244 Posts

Latest posts 5

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Junyi Zhang @ CoRL @junyi42 Mar 9

𝗢𝗻𝗲 𝗺𝗲𝗺𝗼𝗿𝘆 𝗰𝗮𝗻’𝘁 𝗿𝘂𝗹𝗲 𝘁𝗵𝗲𝗺 𝗮𝗹𝗹.

We present 𝗟𝗼𝗚𝗲𝗥, a new 𝗵𝘆𝗯𝗿𝗶𝗱 𝗺𝗲𝗺𝗼𝗿𝘆 architecture for long-context geometric reconstruction.

LoGeR enables stable reconstruction over up to 𝟭𝟬𝗸 𝗳𝗿𝗮𝗺𝗲𝘀 / 𝗸𝗶𝗹𝗼𝗺𝗲𝘁𝗲𝗿 𝘀𝗰𝗮𝗹𝗲, with 𝗹𝗶𝗻𝗲𝗮𝗿-𝘁𝗶𝗺𝗲 𝘀𝗰𝗮𝗹𝗶𝗻𝗴 in sequence length, 𝗳𝘂𝗹𝗹𝘆 𝗳𝗲𝗲𝗱𝗳𝗼𝗿𝘄𝗮𝗿𝗱 inference, and 𝗻𝗼 𝗽𝗼𝘀𝘁-𝗼𝗽𝘁𝗶𝗺𝗶𝘇𝗮𝘁𝗶𝗼𝗻.

Yet it matches or surpasses strong optimization-based pipelines. (1/5)

@GoogleDeepMind @Berkeley_AI

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Junyi Zhang @ CoRL @junyi42 6h

We will be presenting our poster at 10:30am at JW Marriott, 3rd floor, Poster #99. Come chat with us about agentic robotics! 👀

Jiaxin Ge @ CoRL Verified account @jiaxin_ge_ 1d

@junyi42 and I will be giving our spotlight talk on Playful Agentic Robot Learning (RATs) in CoRL at 8:30 tomorrow! Come checkout our paper😃
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Junyi Zhang @ CoRL @junyi42 Oct 23

We trained an agent with native visual world modeling ability.

It imagines counterfactual outcomes to plan ahead. SFT teaches it to imagine; agentic RL makes it even more adaptable.

We’ve released everything: agima.net

Jiaxin Ge @ CoRL Verified account @jiaxin_ge_ Oct 23

We trained an imaginative agent! ✨
Agima: an omni agent that plans by imagining futures.

𝗦𝗙𝗧: Directly generalizes to harder tasks! 𝟮%→𝟰𝟬%, beats GPT-5.6 Sol (𝟮𝟬%).
𝗥𝗟: New ways to imagine emerge! Imagines a second plan only if the first one fails (𝟯𝟮%→𝟭𝟬𝟬%).

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Junyi Zhang @ CoRL @junyi42 Jul 16

"The latent world representation is a program, not a vector"

Finding the right representation to be inverse-graphics is really important. Really cool work!

Haven Feng ✈️ CoRL Verified account @HavenFeng Jul 16

Today, we’re introducing [schema]: a harness reaching 99% RHAE with Opus 4.8 + Fable 5 and 95.35% with GPT-5.6 Sol on ARC-AGI-3 Public set.

[schema] makes an LLM think like a physicist. 🧵

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Junyi Zhang @ CoRL @junyi42 Jun 19

Children learn from play. Can robots do the same?

We propose 𝐏𝐥𝐚𝐲𝐟𝐮𝐥 𝐀𝐠𝐞𝐧𝐭𝐢𝐜 𝐑𝐨𝐛𝐨𝐭 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠, a paradigm that gives embodied coding agents a play stage before downstream tasks arrive, and instantiate it with 𝐑𝐀𝐓𝐬 (Robotics Agent Teams), where robots discover reusable skills through curious play.

Co-led with @jiaxin_ge_

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