Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN
Train and test imitation learning algorithms in simulated environments for robotics tasks like cube transfer and insertion.
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act-plus-plus has 3.6k stars on GitHub. It has been forked 647 times. act-plus-plus is written mainly in Python. It has been in active development since 2023. act-plus-plus is available under the MIT license. Its main topics are imitation-learning, robotics.
Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN
act-plus-plus is an open-source project. It is released under the MIT license.
Yes. act-plus-plus is free and open source — you can use, modify and self-host it.
act-plus-plus is available under the MIT license.
act-plus-plus is written mainly in Python.
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