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 329b23e0 Fix extra summary being written when loading from checkpoint (#3272) 5 年前
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mlagents Fix extra summary being written when loading from checkpoint (#3272) 5 年前
tests convert yamato tests to python (#3239) 5 年前
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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-learn access 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.