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poca 智能体游玩 SoccerTwos

这是一个使用 Unity ML-Agents 库 训练的 poca 智能体游玩 SoccerTwos 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，帮助你学习使用 ML-Agents 训练第一个智能体并发布到 Hub：

  • 一个简短教程，教你训练 Huggy 小狗 🐶 去捡木棍，然后直接在浏览器中与它玩耍：https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction
  • 一个更长教程，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 <your_configuration_file_path.yaml> --run-id=<run_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 model_id：ZZanty/ML-Agents-SoccerTwos-2
  3. 第二步：选择你的 .nn /.onnx 文件
  4. 点击 Watch the agent play 👀

ZZanty/ML-Agents-SoccerTwos-2

作者 ZZanty

reinforcement-learning ml-agents
↓ 0 ♥ 0

创建时间: 2024-12-19 21:49:31+00:00

更新时间: 2024-12-20 03:07:06+00:00

在 Hugging Face 上查看

文件 (34)

.gitattributes
README.md
SoccerTwos.onnx ONNX
SoccerTwos/SoccerTwos-1499476.onnx ONNX
SoccerTwos/SoccerTwos-1499476.pt
SoccerTwos/SoccerTwos-1999900.onnx ONNX
SoccerTwos/SoccerTwos-1999900.pt
SoccerTwos/SoccerTwos-2127036.onnx ONNX
SoccerTwos/SoccerTwos-2127036.pt
SoccerTwos/SoccerTwos-3499014.onnx ONNX
SoccerTwos/SoccerTwos-3499014.pt
SoccerTwos/SoccerTwos-3507014.onnx ONNX
SoccerTwos/SoccerTwos-3507014.pt
SoccerTwos/SoccerTwos-3999270.onnx ONNX
SoccerTwos/SoccerTwos-3999270.pt
SoccerTwos/SoccerTwos-4499894.onnx ONNX
SoccerTwos/SoccerTwos-4499894.pt
SoccerTwos/SoccerTwos-4653084.onnx ONNX
SoccerTwos/SoccerTwos-4653084.pt
SoccerTwos/SoccerTwos-499916.onnx ONNX
SoccerTwos/SoccerTwos-499916.pt
SoccerTwos/SoccerTwos-999880.onnx ONNX
SoccerTwos/SoccerTwos-999880.pt
SoccerTwos/checkpoint.pt
SoccerTwos/events.out.tfevents.1734632691.e5c17e9ae0a6.922.0
SoccerTwos/events.out.tfevents.1734645124.e5c17e9ae0a6.50647.0
SoccerTwos/events.out.tfevents.1734645150.e5c17e9ae0a6.50811.0
SoccerTwos/events.out.tfevents.1734654324.e5c17e9ae0a6.87446.0
SoccerTwos/events.out.tfevents.1734663165.e5c17e9ae0a6.122762.0
config.json
configuration.yaml
run_logs/Player-0.log
run_logs/timers.json
run_logs/training_status.json