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
- Full teardown: inside Zmotor's 32mm linear actuator for humanoids — MarwaEldiwiny · 2026-10-27
- Full Teardown of a Zmotor Linear Actuator Used in China's Humanoid Robots — MarwaEldiwiny · 2026-10-27
- World Model Assigns Weight and Friction to Objects, Then Simulates with a Physics Engine — jonstephens85 · 2026-10-27
- First unboxing shots of Apple's foldable "iPhone Duo" surface — chrisfirst · 2026-10-27
- Bedrock Robotics Raises $600M Series C as Autonomous Excavators Do Paid Work on US Job Sites — davidpattersonx · 2026-10-27
- UniAction: unified action conditioning lets one world model handle mixed action types — ZeYanjie · 2026-10-27