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。

unity3d unity unity-tech reinforcement-le deep-learning deep-reinforcement-learning neural-networks

目录树: 9c50abcf

文件历史

GitHub 9c50abcf GAIL and Pretraining (#2118 ) Based on the new reward signals architecture, add BC pretrainer and GAIL for PPO. Main changes: - A new GAILRewardSignal and GAILModel for GAIL/VAIL - A BCModule component (not a reward signal) to do pretraining during RL - Documentation for both of these - Change to Demo Loader that lets you load multiple demo files in a folder - Example Demo files for all of our tested sample environments (for future regression testing)		5 年前
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mlagents/trainers	GAIL and Pretraining (#2118)	5 年前
README.md	Fixing tables in documentation and other markdown errors. (#1199)	6 年前
setup.py	Fixed the import issue (#2158)	6 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.