说明文档

PPO 智能体玩 Pyramids

这是一个使用 Unity ML-Agents 库训练的 PPO 智能体，用于玩 Pyramids 游戏。

使用方法（配合 ML-Agents）

文档链接：https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/

我们编写了完整的教程，教你如何使用 ML-Agents 训练你的第一个智能体并发布到 Hub：

简短教程：教你训练 Huggy 小狗 🐶 去捡木棍，然后直接在浏览器中与它互动： https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction
详细教程：深入理解 ML-Agents 的工作原理： https://huggingface.co/learn/deep-rl-course/unit5/introduction

继续训练

mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume

观看你的智能体玩游戏

你可以直接在浏览器中观看你的智能体 玩游戏

如果该环境属于 ML-Agents 官方环境，请访问 https://huggingface.co/unity
第一步：找到你的 model_id：MTNielsen/ppo-PyramidsTraining
第二步：选择你的 .nn /.onnx 文件
点击"观看智能体游戏" 👀

MTNielsen/ppo-PyramidsTraining

作者 MTNielsen

reinforcement-learning ml-agents

↓ 1 ♥ 0

创建时间: 2025-06-27 06:36:33+00:00

更新时间: 2025-06-27 12:33:50+00:00

在 Hugging Face 上查看

文件 (45)

.gitattributes

Pyramids.onnx ONNX

Pyramids/Pyramids-1000092.onnx ONNX

Pyramids/Pyramids-1000092.pt

Pyramids/Pyramids-1000205.onnx ONNX

Pyramids/Pyramids-1000205.pt

Pyramids/Pyramids-1499812.onnx ONNX

Pyramids/Pyramids-1499812.pt

Pyramids/Pyramids-18048.onnx ONNX

Pyramids/Pyramids-18048.pt

Pyramids/Pyramids-1999862.onnx ONNX

Pyramids/Pyramids-1999862.pt

Pyramids/Pyramids-2499866.onnx ONNX

Pyramids/Pyramids-2499866.pt

Pyramids/Pyramids-2999953.onnx ONNX

Pyramids/Pyramids-2999953.pt

Pyramids/Pyramids-3000209.onnx ONNX

Pyramids/Pyramids-3000209.pt

Pyramids/Pyramids-499833.onnx ONNX

Pyramids/Pyramids-499833.pt

Pyramids/Pyramids-499898.onnx ONNX

Pyramids/Pyramids-499898.pt

Pyramids/Pyramids-92042.onnx ONNX

Pyramids/Pyramids-92042.pt

Pyramids/Pyramids-999949.onnx ONNX

Pyramids/Pyramids-999949.pt

Pyramids/Pyramids-999964.onnx ONNX

Pyramids/Pyramids-999964.pt

Pyramids/checkpoint.pt

Pyramids/events.out.tfevents.1751005358.Office.32488.0

Pyramids/events.out.tfevents.1751019578.Office.96172.0

Pyramids/events.out.tfevents.1751022274.Office.4419.0

README.md

config.json

configuration.yaml

run_logs/Player-0.log

run_logs/Player-1.log

run_logs/Player-2.log

run_logs/Player-3.log

run_logs/Player-4.log

run_logs/Player-5.log

run_logs/Player-6.log

run_logs/Player-7.log

run_logs/timers.json

run_logs/training_status.json