act_dryrun is an open-source imitation learning model for robotics, enabling prediction of action chunks from teleoperated data. It is designed for robotics researchers and developers to train, evaluate, and deploy advanced policies using the LeRobot library. The model is available on Hugging Face under an open license.
Act Dryrun is an Other AI product. It enables robotics developers to train and deploy action chunking policies for imitation learning tasks. It is built as an open-source project for robotics researchers and developers. Act Dryrun is open source under the Apache-2.0 license. The product ships for the web, API, and the command line.
Behind Act Dryrun is gkienpham, and the product first shipped in 2024. Development happens publicly on GitHub with 25.8k stars and 155 commits in the last 90 days. PulseGate's similarity index finds few close equivalents — Act Dryrun occupies a relatively distinct niche. Key capabilities include imitation learning, action chunking, and robotics policy.
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