knotty-au/ppo-Huggy
作者 knotty-au | 下载 23 | 点赞 0 | 更新 2023-10-05
这个仓库里有什么
- 13 个 ONNX 模型(.onnx 文件)
- 35 个文件,其中 .onnx 13 个、.pt 13 个、.json 3 个、.0 2 个、.md 1 个、.yaml 1 个
- 最近更新:2023-10-05
ONNX 文件清单
| 文件 | 大小 | 下载 |
|---|---|---|
| Huggy.onnx | — | 下载 |
| Huggy/Huggy-0.onnx | — | 下载 |
| Huggy/Huggy-1199972.onnx | — | 下载 |
| Huggy/Huggy-1399987.onnx | — | 下载 |
| Huggy/Huggy-1599491.onnx | — | 下载 |
| Huggy/Huggy-1799820.onnx | — | 下载 |
| Huggy/Huggy-199831.onnx | — | 下载 |
| Huggy/Huggy-1999971.onnx | — | 下载 |
| Huggy/Huggy-2000038.onnx | — | 下载 |
| Huggy/Huggy-399977.onnx | — | 下载 |
共 13 个 .onnx 文件,其余见右侧「文件」列表。
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
ppo Agent playing Huggy
This is a trained model of a ppo agent playing Huggy 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: knotty-au/ppo-Huggy
- Step 2: Select your .nn /.onnx file
- Click on Watch the agent play 👀
模型信息
reinforcement-learning
ml-agents
ml-agents
tensorboard
onnx
Huggy
deep-reinforcement-learning
reinforcement-learning
ML-Agents-Huggy
region:us
↓ 23
♥ 0
创建时间: 2023-10-05
更新时间: 2023-10-05
在 Hugging Face 上查看文件 (35)
.gitattributes
Huggy.onnx
ONNX
Huggy/Huggy-0.onnx
ONNX
Huggy/Huggy-0.pt
Huggy/Huggy-1199972.onnx
ONNX
Huggy/Huggy-1199972.pt
Huggy/Huggy-1399987.onnx
ONNX
Huggy/Huggy-1399987.pt
Huggy/Huggy-1599491.onnx
ONNX
Huggy/Huggy-1599491.pt
Huggy/Huggy-1799820.onnx
ONNX
Huggy/Huggy-1799820.pt
Huggy/Huggy-199831.onnx
ONNX
Huggy/Huggy-199831.pt
Huggy/Huggy-1999971.onnx
ONNX
Huggy/Huggy-1999971.pt
Huggy/Huggy-2000038.onnx
ONNX
Huggy/Huggy-2000038.pt
Huggy/Huggy-399977.onnx
ONNX
Huggy/Huggy-399977.pt
Huggy/Huggy-599989.onnx
ONNX
Huggy/Huggy-599989.pt
Huggy/Huggy-799990.onnx
ONNX
Huggy/Huggy-799990.pt
Huggy/Huggy-999984.onnx
ONNX
Huggy/Huggy-999984.pt
Huggy/checkpoint.pt
Huggy/events.out.tfevents.1696507765.120194fcde92.4439.0
Huggy/events.out.tfevents.1696507781.120194fcde92.4572.0
README.md
config.json
configuration.yaml
run_logs/Player-0.log
run_logs/timers.json
run_logs/training_status.json
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