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说明文档

PPO 智能体玩 SnowballTarget

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

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,帮助你学习如何使用 ML-Agents 训练你的第一个智能体,并将其发布到 Hub:

  • 一个简短教程,教你训练小狗 Huggy 🐶 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
  • 一个更详细的教程,帮助你深入理解 ML-Agents 的工作原理:https://huggingface.co/learn/deep-rl-course/unit5/introduction

继续训练

mlagents-learn <你的配置文件路径.yaml> --run-id=<运行ID> --resume

观看你的智能体游玩

你可以直接在浏览器中观看你的智能体游玩

  1. 如果环境属于 ML-Agents 官方环境,请访问 https://huggingface.co/unity
  2. 第一步:找到你的 model_id:greg-szopinski/ppo-SnowballTarget-2
  3. 第二步:选择你的 *.nn 或 *.onnx 文件
  4. 点击"观看智能体游玩" 👀

greg-szopinski/ppo-SnowballTarget-2

作者 greg-szopinski

reinforcement-learning ml-agents
↓ 0 ♥ 0

创建时间: 2023-07-31 15:54:52+00:00

更新时间: 2023-07-31 15:54:55+00:00

在 Hugging Face 上查看

文件 (31)

.gitattributes
README.md
SnowballTarget.onnx ONNX
SnowballTarget/SnowballTarget-149984.onnx ONNX
SnowballTarget/SnowballTarget-149984.pt
SnowballTarget/SnowballTarget-199984.onnx ONNX
SnowballTarget/SnowballTarget-199984.pt
SnowballTarget/SnowballTarget-249944.onnx ONNX
SnowballTarget/SnowballTarget-249944.pt
SnowballTarget/SnowballTarget-250008.onnx ONNX
SnowballTarget/SnowballTarget-250008.pt
SnowballTarget/SnowballTarget-299944.onnx ONNX
SnowballTarget/SnowballTarget-299944.pt
SnowballTarget/SnowballTarget-349968.onnx ONNX
SnowballTarget/SnowballTarget-349968.pt
SnowballTarget/SnowballTarget-399992.onnx ONNX
SnowballTarget/SnowballTarget-399992.pt
SnowballTarget/SnowballTarget-449992.onnx ONNX
SnowballTarget/SnowballTarget-449992.pt
SnowballTarget/SnowballTarget-499952.onnx ONNX
SnowballTarget/SnowballTarget-499952.pt
SnowballTarget/SnowballTarget-500016.onnx ONNX
SnowballTarget/SnowballTarget-500016.pt
SnowballTarget/checkpoint.pt
SnowballTarget/events.out.tfevents.1690816908.a1097c9427c9.3440.0
SnowballTarget/events.out.tfevents.1690818091.a1097c9427c9.8492.0
config.json
configuration.yaml
run_logs/Player-0.log
run_logs/timers.json
run_logs/training_status.json