ArenaX Lab's Mujoco Environments
This package contains the Mujoco environments used for the SAI Platform.
Installation
pip install sai-mujoco
Usage
import gymnasium as gym
import sai_mujoco
env = gym.make("HumanoidObstacle-v0")
Environment List
HumanoidObstacle-v0: A humanoid obstacle environment.InvertedPendulumWheel-v0: An inverted pendulum on a wheel environment.RoboticArm-v0: A robotic arm environment.
More Information
Metadata
Release files for sai-mujoco 0.1.30
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| sai_mujoco-0.1.30.tar.gz | 79.6 MB | Without provenance | Details for sai_mujoco-0.1.30.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| sai_mujoco-0.1.30-py3-none-any.whl | Python 3 | none | any | Details for sai_mujoco-0.1.30-py3-none-any.whl |
Total release size: 160.0 MB
Release files / sai_mujoco-0.1.30.tar.gz
| Download URL | sai_mujoco-0.1.30.tar.gz |
|---|---|
| Size | 79.6 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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No |
| Uploaded via |
twine/6.1.0 CPython/3.10.18
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Release files / sai_mujoco-0.1.30-py3-none-any.whl
| Download URL | sai_mujoco-0.1.30-py3-none-any.whl |
|---|---|
| Size | 80.3 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.10.18
|
Security for sai-mujoco 0.1.30
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