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Paul Zhou

@zhiyuan_zhou_ • 1,770 subscribers

RL & robots. phd @berkeley_ai, prev @physical_int

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So we're pooling it. We are announcing ✨OopsieData✨, a multi-lab effort to collect real-world manipulation rollouts — suboptimal successes and failures alike — across robots and labs. 17 labs have already contributed, and now it's open to everyone!

So we're pooling it. We are announcing ✨OopsieData✨, a multi-lab effort to collect real-world manipulation rollouts — suboptimal successes and failures alike — across robots and labs. 17 labs have already contributed, and now it's open to everyone!

21,676 просмотров

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Do you ever find finetuning VLA overfits to the target task, to the point where generalist ability is lost and even minor deviations beyond the SFT data break the policy? We found an extremely simple solution: directly merge the base and finetuned policy in weight space 🤯 👇🧵

Do you ever find finetuning VLA overfits to the target task, to the point where generalist ability is lost and even minor deviations beyond the SFT data break the policy? We found an extremely simple solution: directly merge the base and finetuned policy in weight space 🤯 👇🧵

128,624 просмотров • 10 месяцев назад

Can robots self-improve by collecting data autonomously🤖? Introducing SOAR: a system for large-scale autonomous data collection 🚀 and autonomous improvement📈of a multi-task language-conditioned policy in diverse scenes without human interventions .

Can robots self-improve by collecting data autonomously🤖? Introducing SOAR: a system for large-scale autonomous data collection 🚀 and autonomous improvement📈of a multi-task language-conditioned policy in diverse scenes without human interventions .

47,739 просмотров • 2 лет назад

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