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#Physical Intelligence
Nov 18Tue
  1. Physical Intelligence Social68

    Physical Intelligence releases π0.6 model that can learn from its own experience via reinforcement learning

    Physical Intelligence has released a new model, π0.6, which can learn from its own experience through reinforcement learning (RL). Compared with a baseline model not trained with RL, π0.6 can more than double throughput and can perform real-world tasks, including making espresso drinks, folding various garments, and assembling cardboard boxes.

    Why it matters: The original text provides a comparison showing more than double the throughput of a baseline model not trained with reinforcement learning, as well as the scope of three types of real-world tasks.

Nov 17Mon
  1. Physical Intelligence74

    Physical Intelligence releases π*0.6, a VLA model that learns from experience

    Physical Intelligence released the VLA model π*0.6. After training with its Recap (RL with Experience & Corrections via Advantage-conditioned Policies) method, throughput on some of the hardest tasks more than doubled, and the failure rate can be reduced to half of the original or lower.

    Why it matters: The original article explains how compounding errors arise in VLA under imitation learning and presents a training approach that uses expert corrections and autonomous experience for reinforcement learning.