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: bd2a492b

文件历史

Jonathan Harper 481e0842 Remove the --num-runs option The "num-runs" command-line option provides the ability to run multiple identically-configured training runs in separate processes by running mlagents-learn only once. This is a rarely used ML-Agents feature, but it adds complexity to other parts of the system by adding the need to support multiprocessing and managing of ports for the parallel training runs. It also doesn't provide truly reproducible experiments, since there is no guarantee of resource isolation between the trials. This commit removes the --num-runs option, with the idea that users will manage parallel or sequential runs of the same experiment themselves in the future.		5 年前
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mlagents	Remove the --num-runs option	5 年前
README.md	Rename mlagents.envs to mlagents_envs (#3083)	5 年前
setup.py	Rename mlagents.envs to mlagents_envs (#3083)	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.