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com.unity.ml-agents_1.0.0
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v0.1
ml-agents/ml-agents
GitHub
3641293f
Change checkpoint suffix to "ckpt" (#3470)
Tensorflow doesn't prescribe any particular file suffix for checkpoint files, but they are commonly referred to as "ckpt" as a shorthand for "checkpoint". However ours is somewhat confusingly "cptk". This change simply changes our checkpoint suffix to "ckpt". |
5 年前 | |
|---|---|---|
| .. | ||
| mlagents | Change checkpoint suffix to "ckpt" (#3470) | 5 年前 |
| tests | Update docs to reflect new package installation workflow. (#3362) | 5 年前 |
| README.md | Rename mlagents.envs to mlagents_envs (#3083) | 5 年前 |
| setup.py | Add 'run-experiment' script, simpler curriculum config (#3186) | 5 年前 |
README.md
Unity ML-Agents Python Interface and Trainers
The mlagents Python package is part of the
ML-Agents Toolkit.
mlagents provides a Python API that allows direct interaction with the Unity
game engine as well as a collection of trainers and algorithms to train agents
in Unity environments.
The mlagents Python package contains two sub packages:
-
mlagents_envs: A low level API which allows you to interact directly with a Unity Environment. See here for more information on using this package. -
mlagents.trainers: A set of Reinforcement Learning algorithms designed to be used with Unity environments. Access them using the:mlagents-learnaccess point. See here for more information on using this package.
Installation
Install the mlagents package with:
pip install mlagents
Usage & More Information
For more detailed documentation, check out the ML-Agents Toolkit documentation.