arXiv Machine Learning July 13, 2026 By Iris Xu, Sunshine Jiang, John Marangola, Nitish Dashora, Richard Li, Thomas Liu, Zexue He, Yuheng Zhi, Alex Pentland, Pulkit Agrawal, Zhang-Wei Hong

Learning More from Less: Reinforcement Learning from Hindsight

Read the original on arXiv Machine Learning →

arXiv:2607. 09042v1 Announce Type: new Abstract: Reinforcement learning (RL) is increasingly used to post-train vision-language-action (VLA) models, but every update consumes robot rollouts that are slow and costly to collect, making sample efficiency a central concern.

Summary generated by The Flow from the publisher's feed. The full article lives at arXiv Machine Learning.

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