First Checkpoint of New Policy Model Exhibits Impatient Behavior
DominiqueCAPaul · x · 2026-07-06
The first checkpoint from a policy trained on new data has been obtained. Because the training progressed faster this time, the policy exhibits quicker, more hectic behavior, though improvements are expected in subsequent checkpoints. This highlights how training data and pacing impact policy behavior, likely reflecting a robotic reinforcement learning training practice.
More from Embodied
- NVIDIA open-sources FLORA, a robotics data engine ~125x cheaper than GPT-6 Astra — nvidia · 2026-10-27
- Embodied AI startups need a different operational discipline, investor says — ___Mufasaa · 2026-10-27
- π0.5 study: raising demos from 10 to 438 lifts Place Ball in Bowl success from 7% to 83% — stingning · 2026-10-27
- GPT-6 Astra controls dexterous hands zero-shot at just 5.2% success in 500 trials — stingning · 2026-10-27
- HandsOn benchmark: 66 verified tasks and 18,000 human demos for dexterous manipulation — stingning · 2026-10-27
- DexPort: a handheld interface with a real robot hand for dexterous-hand data collection — pabbeel · 2026-10-27