ReinFlow
ReinFlow combines Flow Policy with online reinforcement learning for fine-tuning across various robotic tasks.
GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Integrates flow-based models with reinforcement learning for robotics tasks
Good fit when
- Need to fine-tune policies in robotic manipulation or locomotion
- Wishing to apply variability-informed algorithms like Pi0 and GR00TN1.5
Avoid when
- Looking for solutions outside of robotic control tasks
- Requiring offline reinforcement learning methods instead
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (147d since push)
- As of Sep 19, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 19, 2026
- Security (OSV)
- No lockfile
- As of Jul 11, 2026
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Install
pip install ReinFlowSimilar tools
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Evidence and technical details
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Overview
An open-source project that integrates flow-based models with reinforcement learning techniques to enhance policy tuning in robotics and visuomotor control tasks such as locomotion and manipulation, supporting variability-informed algorithms like Pi0 and GR00TN1.5.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Sep 19, 2026
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README
:rocket: Installation Please follow the steps in installation/reinflow setup.md. :rocket: Quick Start: Reproduce Our Results To fully reproduce our experiments, please refer to ReproduceExps.md. To download our training data and reproduce the plots in the paper, please refer to R...
For agents
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