Amankankriya/ppo-SoccerTwos
作者 Amankankriya ｜ 下载 2 ｜ 点赞 0 ｜ 更新 2024-02-02
这个仓库里有什么
- 1 个 ONNX 模型（.onnx 文件）
- 5 个文件，其中 .md 1 个、.onnx 1 个、.json 1 个、.yaml 1 个
- 最近更新：2024-02-02
ONNX 文件清单
| 文件 | 大小 | 下载 |
|---|---|---|
| SoccerTwos.onnx | — | 下载 |
怎么用
这些 ONNX 文件可以直接用 ONNX Runtime 加载运行；想先看网络结构，可以把文件上传到 Netron 在线查看器 查看。下载链接指向 Hugging Face 原始文件。
说明文档
poca Agent playing SoccerTwos
This is a trained model of a poca agent playing SoccerTwos using the Unity ML-Agents Library.
Usage (with ML-Agents)
The Documentation: https://unity-technologies.github.io/ml-agents/ML-Agents-Toolkit-Documentation/
We wrote a complete tutorial to learn to train your first agent using ML-Agents and publish it to the Hub:
- A short tutorial where you teach Huggy the Dog 🐶 to fetch the stick and then play with him directly in your browser: https://huggingface.co/learn/deep-rl-course/unitbonus1/introduction
- A longer tutorial to understand how works ML-Agents: https://huggingface.co/learn/deep-rl-course/unit5/introduction
Resume the training
mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
Watch your Agent play
You can watch your agent playing directly in your browser
- If the environment is part of ML-Agents official environments, go to https://huggingface.co/unity
- Step 1: Find your model_id: Amankankriya/ppo-SoccerTwos
- Step 2: Select your .nn /.onnx file
- Click on Watch the agent play 👀
模型信息
reinforcement-learning
ml-agents
ml-agents
onnx
SoccerTwos
deep-reinforcement-learning
reinforcement-learning
ML-Agents-SoccerTwos
region:us
↓ 2
♥ 0
创建时间: 2024-02-02
更新时间: 2024-02-02
在 Hugging Face 上查看文件 (5)
.gitattributes
README.md
SoccerTwos.onnx
ONNX
config.json
configuration.yaml