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News/Accelerating Visual Policy Learning with Sampling-Based Model Predictive Control
arxiv
PublishedSeptember 18, 2026 at 4:00 AM

Accelerating Visual Policy Learning with Sampling-Based Model Predictive Control

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arXiv:2609.20575v1 Announce Type: cross Abstract: Learning visual policies for locomotion and manipulation requires coordinating contact with the environment and can incur substantial computation and GPU memory costs. First-order policy gradients (FoPG) reduce training cost through differentiable si

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