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说明文档


library_name: ml-agents tags:

  • SoccerTwos
  • deep-reinforcement-learning
  • reinforcement-learning
  • ML-Agents-SoccerTwos

poca 智能体玩 SoccerTwos

这是一个经过训练的 poca 智能体模型,使用 Unity ML-Agents 库 来玩 SoccerTwos

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,教你训练小狗 Huggy 🐶 去捡棍子,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

观看你的智能体玩游戏

你可以直接在浏览器中观看你的智能体玩游戏

  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:找到你的模型 ID:zikangzheng/poca-SoccerTwos
  3. 第二步:选择你的 .nn /.onnx 文件
  4. 点击"观看智能体玩游戏"👀

zikangzheng/poca-SoccerTwos

作者 zikangzheng

reinforcement-learning ml-agents
↓ 0 ♥ 0

创建时间: 2025-11-05 06:19:53+00:00

更新时间: 2025-11-05 06:22:05+00:00

在 Hugging Face 上查看

文件 (34)

.gitattributes
README.md
SoccerTwos.onnx ONNX
SoccerTwos/SoccerTwos-18499950.onnx ONNX
SoccerTwos/SoccerTwos-18499950.pt
SoccerTwos/SoccerTwos-18999204.onnx ONNX
SoccerTwos/SoccerTwos-18999204.pt
SoccerTwos/SoccerTwos-18999916.onnx ONNX
SoccerTwos/SoccerTwos-18999916.pt
SoccerTwos/SoccerTwos-19499040.onnx ONNX
SoccerTwos/SoccerTwos-19499040.pt
SoccerTwos/SoccerTwos-19499852.onnx ONNX
SoccerTwos/SoccerTwos-19499852.pt
SoccerTwos/SoccerTwos-19999226.onnx ONNX
SoccerTwos/SoccerTwos-19999226.pt
SoccerTwos/SoccerTwos-19999810.onnx ONNX
SoccerTwos/SoccerTwos-19999810.pt
SoccerTwos/SoccerTwos-20000332.onnx ONNX
SoccerTwos/SoccerTwos-20000332.pt
SoccerTwos/SoccerTwos-20499993.onnx ONNX
SoccerTwos/SoccerTwos-20499993.pt
SoccerTwos/SoccerTwos-20999988.onnx ONNX
SoccerTwos/SoccerTwos-20999988.pt
SoccerTwos/SoccerTwos-499850.onnx ONNX
SoccerTwos/SoccerTwos-499850.pt
SoccerTwos/SoccerTwos-603980.onnx ONNX
SoccerTwos/SoccerTwos-603980.pt
SoccerTwos/checkpoint.pt
SoccerTwos/events.out.tfevents.1762283989.KhanZheng.34192.0
config.json
configuration.yaml
run_logs/Player-0.log
run_logs/timers.json
run_logs/training_status.json