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library_name: ml-agents tags:

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

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: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,教你让 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
  • 一个更长的教程,帮助你理解 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. 如果该环境属于 ML-Agents 官方环境,请访问 https://huggingface.co/unity
  2. 第一步:找到你的 model_id:Golobama/SoccerTwos-poca-v0
  3. 第二步:选择你的 .nn /.onnx 文件
  4. 点击观看智能体游玩 👀

Golobama/SoccerTwos-poca-v0

作者 Golobama

reinforcement-learning ml-agents
↓ 1 ♥ 0

创建时间: 2024-08-14 17:21:52+00:00

更新时间: 2024-08-14 17:22:46+00:00

在 Hugging Face 上查看

文件 (32)

.gitattributes
README.md
SoccerTwos.onnx ONNX
SoccerTwos/SoccerTwos-0.onnx ONNX
SoccerTwos/SoccerTwos-0.pt
SoccerTwos/SoccerTwos-10499984.onnx ONNX
SoccerTwos/SoccerTwos-10499984.pt
SoccerTwos/SoccerTwos-10999106.onnx ONNX
SoccerTwos/SoccerTwos-10999106.pt
SoccerTwos/SoccerTwos-11327736.onnx ONNX
SoccerTwos/SoccerTwos-11327736.pt
SoccerTwos/SoccerTwos-2999920.onnx ONNX
SoccerTwos/SoccerTwos-2999920.pt
SoccerTwos/SoccerTwos-3499940.onnx ONNX
SoccerTwos/SoccerTwos-3499940.pt
SoccerTwos/SoccerTwos-3999156.onnx ONNX
SoccerTwos/SoccerTwos-3999156.pt
SoccerTwos/SoccerTwos-4499188.onnx ONNX
SoccerTwos/SoccerTwos-4499188.pt
SoccerTwos/SoccerTwos-4725568.onnx ONNX
SoccerTwos/SoccerTwos-4725568.pt
SoccerTwos/SoccerTwos-9499430.onnx ONNX
SoccerTwos/SoccerTwos-9499430.pt
SoccerTwos/SoccerTwos-9999812.onnx ONNX
SoccerTwos/SoccerTwos-9999812.pt
SoccerTwos/checkpoint.pt
SoccerTwos/events.out.tfevents.1723569987.DESKTOP-VH1B6PP.17860.0
config.json
configuration.yaml
run_logs/Player-0.log
run_logs/timers.json
run_logs/training_status.json