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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GitHub 09c7787c [bug-fix] Fix regression in --initialize-from feature (#4086) 5 年前
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mlagents [bug-fix] Fix regression in --initialize-from feature (#4086) 5 年前
tests [refactor] Structure configuration files into classes (#3936) 5 年前
README.md [refactor] Store and restore state along with checkpoints (#4025) 5 年前
setup.py [refactor] Structure configuration files into classes (#3936) 5 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:

pip3 install mlagents

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.