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HOME/PEOPLE/SERGEY LEVINE
// PERSON

Sergey Levine

ROLE PROFESSOR / RESEARCHERAT UC BERKELEYMENTIONS 6LAST SEEN JUNE 11, 2026
// BIO

UC Berkeley professor and co-author on QAM, IQL, SERL, RLDG, AWAC — foundational algorithmic work underlying the LWD system.

// RECENT MENTIONS
// SIGNALS
6 SIGNALS
01
product·arXiv Physical AI·JUNE 11, 2026

FRS is an inference-time mechanism to unlock that latent knowledge without retraining the base model.

Source
02
mention·arXiv Physical AI·JUNE 11, 2026

We use OpenPi's π0.5-LIBERO... For all others, we use π0.5 fine-tuned by Jain et al.

Source
03
mention·arXiv Physical AI·JUNE 11, 2026

Levine's group is systematically building the infrastructure for generalist robot policies that can be rapidly adapted — FRS is one piece of that stack.

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04
mention·arXiv Physical AI·JUNE 11, 2026

Authors: Andy Tang, William Chen, Andrew Wagenmaker, Chelsea Finn, Sergey Levine (Stanford + UC Berkeley). Date: June 2025. arXiv: 2606.13675.

Source
05
mention·arXiv Physical AI·JUNE 2, 2026

Sergey Levine (SAC, π₀)... These are the intellectual ancestors of the approach.

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06
mention·arXiv Physical AI·MAY 1, 2026

Multiple citations throughout; co-author on QAM [31], IQL [22], SERL [40], RLDG [56]

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AI-extracted from podcast / newsletter / paper summaries. May contain errors.