record-demo0714_2_act_policy is an open-source imitation learning model for robotics, implementing action chunking with transformers. It allows researchers and developers to train, evaluate, and deploy policies for robotic control using teleoperated data. The model is accessible via API and Python libraries.
Record Demo0714 2 Act Policy sits in PulseGate's Other AI category. Enabling developers to use imitation learning models for efficient action chunking in robotics applications. Record Demo0714 2 Act Policy is an open-source project aimed at robotics researchers and developers. The project is open source (Apache-2.0). Record Demo0714 2 Act Policy is available on the web, API, and the command line.
Behind Record Demo0714 2 Act Policy is 3cda2225, and the product first shipped in 2024. The project is developed in the open on GitHub with 25.8k stars and 160 commits in the last 90 days. Across PulseGate's embedding index, Record Demo0714 2 Act Policy has few near neighbours, marking it as relatively distinct. Among its 5 catalogued features are imitation learning, action chunking, and open weights.
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