RL for Thinking in Robotics: Mastering Tasks in Under 100 Trials
svlevine · x · 2026-07-04
Sergey Levine's team introduces a method akin to "RL for thinking" in robotics—optimizing a robot's thought process through trial and error. Surprisingly, this approach is highly efficient, allowing the robot to learn in fewer than 100 real-world trials. Links to the project website and paper are included.
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