Unity ML-Agents Trainers
The mlagents Python package is part of the
ML-Agents Toolkit. mlagents
provides a set of reinforcement and imitation learning algorithms designed to be
used with Unity environments. The algorithms interface with the Python API
provided by the mlagents_envs package. See here for
more information on mlagents_envs.
The algorithms can be accessed using the: mlagents-learn access point. See
here for more information on using this
package.
Installation
Install the mlagents package with:
python -m pip install mlagents==1.1.0
Usage & More Information
For more information on the ML-Agents Toolkit and how to instrument a Unity scene with the ML-Agents SDK, check out the main ML-Agents Toolkit documentation.
Limitations
- Resuming self-play from a checkpoint resets the reported ELO to the default value.
3 maintainers
Release files for mlagents 1.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| mlagents-1.1.0.tar.gz | 133.3 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| mlagents-1.1.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 304.7 kB
Release files / mlagents-1.1.0.tar.gz
| Download URL | mlagents-1.1.0.tar.gz |
|---|---|
| Size | 133.3 kB |
| Tags | Source |
|
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/5.1.1 CPython/3.9.20
|
Release files / mlagents-1.1.0-py3-none-any.whl
| Download URL | mlagents-1.1.0-py3-none-any.whl |
|---|---|
| Size | 171.4 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.9.20
|
