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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 🐶 去捡木棍，然后直接在浏览器中与它互动：https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction
  • 一个详细教程，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. 如果该环境是 ML-Agents 官方环境之一，请访问 https://huggingface.co/unity
  2. 第一步：找到你的 model_id：daishan986/poca-SoccerTwos
  3. 第二步：选择你的 .nn /.onnx 文件
  4. 点击"观看智能体游玩"👀

daishan986/poca-SoccerTwos

作者 daishan986

reinforcement-learning ml-agents
↓ 1 ♥ 0

创建时间: 2025-10-12 20:18:18+00:00

更新时间: 2025-10-12 20:21:25+00:00

在 Hugging Face 上查看

文件 (67)

.gitattributes
README.md
SoccerTwos.onnx ONNX
SoccerTwos/SoccerTwos-0.onnx ONNX
SoccerTwos/SoccerTwos-0.pt
SoccerTwos/SoccerTwos-1499618.onnx ONNX
SoccerTwos/SoccerTwos-1499618.pt
SoccerTwos/SoccerTwos-1499934.onnx ONNX
SoccerTwos/SoccerTwos-1499934.pt
SoccerTwos/SoccerTwos-1572932.pt
SoccerTwos/SoccerTwos-48499995.onnx ONNX
SoccerTwos/SoccerTwos-48499995.pt
SoccerTwos/SoccerTwos-48999891.onnx ONNX
SoccerTwos/SoccerTwos-48999891.pt
SoccerTwos/SoccerTwos-49499933.onnx ONNX
SoccerTwos/SoccerTwos-49499933.pt
SoccerTwos/SoccerTwos-499391.onnx ONNX
SoccerTwos/SoccerTwos-499391.pt
SoccerTwos/SoccerTwos-499540.onnx ONNX
SoccerTwos/SoccerTwos-499540.pt
SoccerTwos/SoccerTwos-49999980.onnx ONNX
SoccerTwos/SoccerTwos-49999980.pt
SoccerTwos/SoccerTwos-50000054.onnx ONNX
SoccerTwos/SoccerTwos-50000054.pt
SoccerTwos/SoccerTwos-81986.pt
SoccerTwos/SoccerTwos-999200.onnx ONNX
SoccerTwos/SoccerTwos-999200.pt
SoccerTwos/SoccerTwos-999708.onnx ONNX
SoccerTwos/SoccerTwos-999708.pt
SoccerTwos/checkpoint.pt
SoccerTwos/events.out.tfevents.1760262097.featurize.57603.0
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