pedrowww/pyramids
作者 pedrowww | 下载 2 | 点赞 0 | 更新 2023-10-26
这个仓库里有什么
- 4 个 ONNX 模型(.onnx 文件)
- 16 个文件,其中 .onnx 4 个、.pt 4 个、.json 3 个、.0 1 个、.md 1 个、.yaml 1 个
- 最近更新:2023-10-26
ONNX 文件清单
| 文件 | 大小 | 下载 |
|---|---|---|
| Pyramids.onnx | — | 下载 |
| Pyramids/Pyramids-1000042.onnx | — | 下载 |
| Pyramids/Pyramids-499927.onnx | — | 下载 |
| Pyramids/Pyramids-999914.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
ppo Agent playing Pyramids
This is a trained model of a ppo agent playing Pyramids 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: pedrowww/pyramids
- 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
Pyramids
deep-reinforcement-learning
reinforcement-learning
ML-Agents-Pyramids
region:us
↓ 2
♥ 0
创建时间: 2023-10-26
更新时间: 2023-10-26
在 Hugging Face 上查看文件 (16)
.gitattributes
Pyramids.onnx
ONNX
Pyramids/Pyramids-1000042.onnx
ONNX
Pyramids/Pyramids-1000042.pt
Pyramids/Pyramids-499927.onnx
ONNX
Pyramids/Pyramids-499927.pt
Pyramids/Pyramids-999914.onnx
ONNX
Pyramids/Pyramids-999914.pt
Pyramids/checkpoint.pt
Pyramids/events.out.tfevents.1698327460.a1cfe1a0fc74.6839.0
README.md
config.json
configuration.yaml
run_logs/Player-0.log
run_logs/timers.json
run_logs/training_status.json