RLE-Bench: A Qualifying Exam for Coding Agents as Robot Learning Engineers
RLE-Bench tests coding agents on the broader engineering work behind robot learning, not just finished controllers.
The benchmark covers four robotics workflows: interactive control, policy learning, perception and estimation, and mechanical design. It evaluates submitted artifacts with task-specific metrics, then rolls them into an overall RLE Index and workflow-level capability profiles. The authors also include case studies on agent behavior, using them to show current strengths, limits, and training opportunities. HF Daily Papers' note
The benchmark covers four robotics workflows: interactive control, policy learning, perception and estimation, and mechanical design. It evaluates submitted artifacts with task-specific metrics, then rolls them into an overall RLE Index and workflow-level capability profiles. The authors also include case studies on agent behavior, using them to show current strengths, limits, and training opportunities. HF Daily Papers' note
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