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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Limitations

Unity SDK

Headless Mode

If you enable Headless mode, you will not be able to collect visual observations from your agents.

Rendering Speed and Synchronization

Currently the speed of the game physics can only be increased to 100x real-time. The Academy also moves in time with FixedUpdate() rather than Update(), so game behavior implemented in Update() may be out of sync with the agent decision making. See Execution Order of Event Functions for more information.

You can control the frequency of Academy stepping by calling Academy.Instance.DisableAutomaticStepping(), and then calling Academy.Instance.EnvironmentStep()

Unity Inference Engine Models

Currently, only models created with our trainers are supported for running ML-Agents with a neural network behavior.

Python API

Python version

As of version 0.3, we no longer support Python 2.