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
Metadata
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 | Provenance | |
|---|---|---|---|---|
| mlagents-1.1.0.tar.gz | 133.3 kB | Without provenance | 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 |
6b1dbc5bcc448065be68ce6f962c9431d7a35868cfb6ae411856f61261241ca5
|
|
BLAKE2b-256 checksum How to use checksums |
4d3f85127f526ddf99ac7fc8a148a7ea1313dcf7925f33a88640464d9428d76a
|
| Upload date | |
|
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 |
0671e40fb4e4da8740d18bbce47d5a5ef1c58a0db9d109846fbe3d98d712b4f4
|
|
BLAKE2b-256 checksum How to use checksums |
91e8fce4fdea507f2d8008564b0ba46288c40b17fa87e0dfcec381889f289753
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.9.20
|
Security for mlagents 1.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
