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poca 智能体玩 SoccerTwos

这是一个使用 Unity ML-Agents 库 训练的 poca 智能体玩 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,教你如何使用 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 官方环境之一,请访问 https://huggingface.co/unity
  2. 第一步:找到你的模型 ID:VicBeltran/poca-SoccerTwos
  3. 第二步:选择你的 .nn /.onnx 文件
  4. 点击"观看智能体游玩"👀

VicBeltran/poca-SoccerTwos

作者 VicBeltran

reinforcement-learning ml-agents
↓ 0 ♥ 0

创建时间: 2023-08-20 01:00:20+00:00

更新时间: 2023-08-20 13:15:40+00:00

在 Hugging Face 上查看

文件 (35)

.gitattributes
README.md
SoccerTwos.onnx ONNX
SoccerTwos/SoccerTwos-12999858.onnx ONNX
SoccerTwos/SoccerTwos-12999858.pt
SoccerTwos/SoccerTwos-13999928.onnx ONNX
SoccerTwos/SoccerTwos-13999928.pt
SoccerTwos/SoccerTwos-14999912.onnx ONNX
SoccerTwos/SoccerTwos-14999912.pt
SoccerTwos/SoccerTwos-15999965.onnx ONNX
SoccerTwos/SoccerTwos-15999965.pt
SoccerTwos/SoccerTwos-16283050.onnx ONNX
SoccerTwos/SoccerTwos-16283050.pt
SoccerTwos/SoccerTwos-33482.onnx ONNX
SoccerTwos/SoccerTwos-33482.pt
SoccerTwos/SoccerTwos-33802.onnx ONNX
SoccerTwos/SoccerTwos-33802.pt
SoccerTwos/SoccerTwos-5499406.onnx ONNX
SoccerTwos/SoccerTwos-5499406.pt
SoccerTwos/SoccerTwos-5999761.onnx ONNX
SoccerTwos/SoccerTwos-5999761.pt
SoccerTwos/SoccerTwos-6499970.onnx ONNX
SoccerTwos/SoccerTwos-6499970.pt
SoccerTwos/SoccerTwos-6999845.onnx ONNX
SoccerTwos/SoccerTwos-6999845.pt
SoccerTwos/SoccerTwos-7000042.onnx ONNX
SoccerTwos/SoccerTwos-7000042.pt
SoccerTwos/checkpoint.pt
SoccerTwos/events.out.tfevents.1692477418.DESKTOP-9GKAG7F.17694.0
SoccerTwos/events.out.tfevents.1692499201.DESKTOP-9GKAG7F.82689.0
config.json
configuration.yaml
run_logs/Player-0.log
run_logs/timers.json
run_logs/training_status.json