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Unity 机器学习代理工具包 (ML-Agents) 是一个开源项目，它使游戏和模拟能够作为训练智能代理的环境。
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ml-agents/ml-agents
GitHub dffc37bf Update to barracuda 1.3.3 and changes to the model inputs and outputs for LSTM (#5236) 4 年前
..
mlagents Update to barracuda 1.3.3 and changes to the model inputs and outputs for LSTM (#5236) 4 年前
tests Automatically generate samples based on placement of mlagents-sample.json files in our examples. (#5077) 4 年前
README.md [Release 16] Update Python and release versions (#5234) 4 年前
setup.py [docs] Update main doc references (#5251) 4 年前

README.md

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==0.25.1

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

  • mlagents does not yet explicitly support multi-agent scenarios so training cooperative behavior among different agents is not stable.
  • Resuming self-play from a checkpoint resets the reported ELO to the default value.