π0.5 study: raising demos from 10 to 438 lifts Place Ball in Bowl success from 7% to 83%

stingning · x · 2026-10-27

The author shares single-task π0.5 experiments on how demonstration count affects policy success:

Success increases at every tested dataset size. Runs use fixed training updates and a single seed per run, so the authors frame this as evidence that more demonstrations help on these two tasks, leaving broader scaling behavior open.

The same thread lists three recurring failure patterns in trained-policy rollouts:

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