Reinforcement Learning
ml-agents
TensorBoard
ONNX
Pyramids
deep-reinforcement-learning
ML-Agents-Pyramids
Instructions to use AnnaMats/ppo-Pyramids-Training with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use AnnaMats/ppo-Pyramids-Training with ml-agents:
mlagents-load-from-hf --repo-id="AnnaMats/ppo-Pyramids-Training" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
|
Download localized_docs/zh-CN/docs/Readme.md from AnnaMats/ppo-Pyramids-Training: direct link, hf CLI and curl.
- Browser
- Download file 2.42 kB
-
https://huggingface.co/AnnaMats/ppo-Pyramids-Training/resolve/main/localized_docs/zh-CN/docs/Readme.md
- Command line
-
hf download hf://AnnaMats/ppo-Pyramids-Training/localized_docs/zh-CN/docs/Readme.md
-
curl -L -o Readme.md https://huggingface.co/AnnaMats/ppo-Pyramids-Training/resolve/main/localized_docs/zh-CN/docs/Readme.md
2.42 kB
| # Unity ML-Agents 工具包文档 | |
| ## 入门 | |
| * [ML-Agents 概述*](ML-Agents-Overview.md) | |
| * [背景:Unity](/docs/Background-Unity.md) | |
| * [背景:机器学习](/docs/Background-Machine-Learning.md) | |
| * [背景:TensorFlow](/docs/Background-TensorFlow.md) | |
| * [安装和设置*](Installation.md) | |
| * [背景:Jupyter Notebooks](/docs/Background-Jupyter.md) | |
| * [Docker 设置(测试功能)](/docs/Using-Docker.md) | |
| * [教你快速入门--3D Balance Ball 训练环境示例*](Getting-Started-with-Balance-Ball.md) | |
| * [官方训练环境示例*](Learning-Environment-Examples.md) | |
| ## 创建训练环境 | |
| * [从头创建一个训练环境*](Learning-Environment-Create-New.md) | |
| * [设计训练环境*](Learning-Environment-Design.md) | |
| * [Agent](/docs/Learning-Environment-Design-Agents.md) | |
| * [Academy](/docs/Learning-Environment-Design-Academy.md) | |
| * [Brain](/docs/Learning-Environment-Design-Brains.md):[Player](/docs/Learning-Environment-Design-Player-Brains.md)、[Heuristic](/docs/Learning-Environment-Design-Heuristic-Brains.md)、[Internal 和 External](/docs/Learning-Environment-Design-External-Internal-Brains.md) | |
| * [训练环境设计要点](/docs/Learning-Environment-Best-Practices.md) | |
| * [如何使用 Monitor 功能](/docs/Feature-Monitor.md) | |
| * [如何使用 TensorFlowSharp 插件(测试功能)](/docs/Using-TensorFlow-Sharp-in-Unity.md) | |
| ## 进行训练 | |
| * [如何用 ML-Agents 进行训练](/docs/Training-ML-Agents.md) | |
| * [Proximal Policy Optimization 训练要点](/docs/Training-PPO.md) | |
| * [Curriculum Learning(课程学习)训练要点](/docs/Training-Curriculum-Learning.md) | |
| * [Imitation Learning(模仿学习)训练要点](/docs/Training-Imitation-Learning.md) | |
| * [LSTM 训练要点](/docs/Feature-Memory.md) | |
| * [如何使用 Amazon Web Services 进行云端训练](/docs/Training-on-Amazon-Web-Service.md) | |
| * [如何使用 Microsoft Azure 进行云端训练](/docs/Training-on-Microsoft-Azure.md) | |
| * [如何使用 TensorBoard 观察训练过程](/docs/Using-Tensorboard.md) | |
| ## 帮助 | |
| * [如何从老版本升级到 ML-Agents v0.3](/docs/Migrating.md) | |
| * [常见问题](/docs/FAQ.md) | |
| * [ML-Agents 术语表](/docs/Glossary.md) | |
| * [ML-Agents 尚未实现功能](/docs/Limitations.md) | |
| ## API 文档 | |
| * [API 参考](/docs/API-Reference.md) | |
| * [如何使用 Python API](/docs/Python-LLAPI.md) | |
| **注:** 有翻译版的文档会在右上角标注*号。 | |