Mini ML-Agents

Mini-ML-Agents is based on ml-agents-0.1.1, and will as a learning courseware to explain how to implement a agent framework based on Unity.

Features

• Unity Engine flexibility and simplicity
• Multiple observations (cameras)
• Flexible Multi-agent support
• Discrete and continuous action spaces
• Python (2 and 3) control interface
• Visualizing network outputs in environment
• Tensorflow Sharp Agent Embedding [Experimental]

Creating an Environment

The Agents SDK, including example environment scenes is located in unity-environment folder.

you have tow ways:

• 3DBall.exe in python path has built for window platform,you can use it to test .
• or you can build it with Unity3D(2017-1.0f3 version) as follows:
  • load the package: unity-environment
  • enter the unity editor, click menu [file/Build Settings] and select target platform:window and archtecture:x86_64
  • click build button to generate exe file.

Training your Agents

Once you've built a Unity Environment, example Reinforcement Learning algorithms and the Python API are available in the python folder. For requirements, instructions, and other information, see the contained Readme and the relevant.