Continuous Learning Experiment Achieves 100% Success from 16 Examples
ihorbeaver · x · 2026-08-02
This tweet shows a full run and a segment of a task, achieving 100% success from 16 examples. The author notes that for continuous learning, the base model needs to be data-efficient and stable, as irrelevant fluctuations can compound over time.
Related event: Robot Achieves 100% Reliable Continuous Learning with 16 Samples(3 posts)→
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