The author calls it “our self-adaptive VLA” and links to another post, inviting readers to check it out.
A post invites readers to check out what its author calls “our self-adaptive VLA.” It links to another post but gives no details about the project.
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Most VLAs are memoryless: when a robot's hardware drifts, the policy repeats the same failure every trial. What if it could learn from its own failed rollouts and fix itself, without tedious recalibration? Introducing a post-training recipe to remedy this: Self-Adaptive VLA 🧵
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