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arXiv preprint arXiv:2306.06253 , year=

Decision Stacks: Flexible Reinforcement Learning via Modular Generative Models , author= · arXiv 2306.06253

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cs.LG 1

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2026 1

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OGPO: Sample Efficient Full-Finetuning of Generative Control Policies

cs.LG · 2026-05-04 · unverdicted · novelty 6.0

OGPO is a sample-efficient off-policy method for full finetuning of generative control policies that reaches SOTA on robotic manipulation tasks and can recover from poor behavior-cloning initializations without expert data.

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  • OGPO: Sample Efficient Full-Finetuning of Generative Control Policies cs.LG · 2026-05-04 · unverdicted · none · ref 13

    OGPO is a sample-efficient off-policy method for full finetuning of generative control policies that reaches SOTA on robotic manipulation tasks and can recover from poor behavior-cloning initializations without expert data.