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ppo 智能体玩 Huggy

这是一个使用 Unity ML-Agents 库 训练的 ppo 智能体玩 Huggy 的模型。

使用方法（配合 ML-Agents）

文档地址：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：

  • 一个简短教程，教 Huggy 小狗 🐶 去捡棍子，然后直接在浏览器中与它互动：https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction
  • 一个更长的教程，帮助你深入理解 ML-Agents 的工作原理：https://huggingface.co/learn/deep-rl-course/unit5/introduction

恢复训练

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

观看你的智能体玩耍

你可以直接在浏览器中观看你的智能体玩耍

  1. 如果该环境是 ML-Agents 官方环境的一部分，请访问 https://huggingface.co/unity
  2. 第一步：找到你的模型 ID：knoffel/ppo-Huggy
  3. 第二步：选择你的 .nn /.onnx 文件
  4. 点击"观看智能体玩耍 👀"

knoffel/ppo-Huggy

作者 knoffel

reinforcement-learning ml-agents
↓ 0 ♥ 0

创建时间: 2025-01-12 05:28:58+00:00

更新时间: 2025-01-12 05:30:47+00:00

在 Hugging Face 上查看

文件 (65)

.gitattributes
Huggy.onnx ONNX
Huggy/Huggy-1199985.onnx ONNX
Huggy/Huggy-1199985.pt
Huggy/Huggy-1399984.onnx ONNX
Huggy/Huggy-1399984.pt
Huggy/Huggy-1599903.onnx ONNX
Huggy/Huggy-1599903.pt
Huggy/Huggy-1799982.onnx ONNX
Huggy/Huggy-1799982.pt
Huggy/Huggy-199961.onnx ONNX
Huggy/Huggy-199961.pt
Huggy/Huggy-1999890.onnx ONNX
Huggy/Huggy-1999890.pt
Huggy/Huggy-2000014.onnx ONNX
Huggy/Huggy-2000014.pt
Huggy/Huggy-26450.onnx ONNX
Huggy/Huggy-26450.pt
Huggy/Huggy-399996.onnx ONNX
Huggy/Huggy-399996.pt
Huggy/Huggy-599940.onnx ONNX
Huggy/Huggy-599940.pt
Huggy/Huggy-799764.onnx ONNX
Huggy/Huggy-799764.pt
Huggy/Huggy-999707.onnx ONNX
Huggy/Huggy-999707.pt
Huggy/checkpoint.pt
Huggy/events.out.tfevents.1736613620.hrichter-5950x.33549.0
README.md
config.json
configuration.yaml
run_logs/Player-0.log
run_logs/Player-1.log
run_logs/Player-10.log
run_logs/Player-11.log
run_logs/Player-12.log
run_logs/Player-13.log
run_logs/Player-14.log
run_logs/Player-15.log
run_logs/Player-16.log
run_logs/Player-17.log
run_logs/Player-18.log
run_logs/Player-19.log
run_logs/Player-2.log
run_logs/Player-20.log
run_logs/Player-21.log
run_logs/Player-22.log
run_logs/Player-23.log
run_logs/Player-24.log
run_logs/Player-25.log
run_logs/Player-26.log
run_logs/Player-27.log
run_logs/Player-28.log
run_logs/Player-29.log
run_logs/Player-3.log
run_logs/Player-30.log
run_logs/Player-31.log
run_logs/Player-4.log
run_logs/Player-5.log
run_logs/Player-6.log
run_logs/Player-7.log
run_logs/Player-8.log
run_logs/Player-9.log
run_logs/timers.json
run_logs/training_status.json