Humanoid Locomotion Transformer
This is an implementation of the robotic transformer for humanoid robots from the premier paper from berkely: "Real-World Humanoid Locomotion with Reinforcement Learning". Here we implement the state policy model which is an MLP/FFN and a Transformer model that intakes both history and action tokens to output the next action sequence.
Install
License
MIT
Metadata
Release files for hlt-torch 0.0.1
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| hlt_torch-0.0.1.tar.gz | 7.9 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| hlt_torch-0.0.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 15.7 kB
Release files / hlt_torch-0.0.1.tar.gz
| Download URL | hlt_torch-0.0.1.tar.gz |
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| Size | 7.9 kB |
| Tags | Source |
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Release files / hlt_torch-0.0.1-py3-none-any.whl
| Download URL | hlt_torch-0.0.1-py3-none-any.whl |
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| Size | 7.8 kB |
| Tags | Python 3 |
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