Reinforcement Learning
ml-agents
TensorBoard
ONNX
SnowballTarget
deep-reinforcement-learning
ML-Agents-SnowballTarget
Instructions to use zeynpakn/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use zeynpakn/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="zeynpakn/ppo-SnowballTarget" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
|
Download README.md from zeynpakn/ppo-SnowballTarget: direct link, hf CLI and curl.
- Browser
- Download file 859 Bytes
-
https://huggingface.co/zeynpakn/ppo-SnowballTarget/resolve/main/README.md
- Command line
-
hf download hf://zeynpakn/ppo-SnowballTarget/README.md
-
curl -L -o README.md https://huggingface.co/zeynpakn/ppo-SnowballTarget/resolve/main/README.md
859 Bytes
metadata
library_name: ml-agents
tags:
- SnowballTarget
- deep-reinforcement-learning
- reinforcement-learning
- ML-Agents-SnowballTarget
PPO Agent playing SnowballTarget
This is a trained model of a ppo agent playing SnowballTarget using the Unity ML-Agents Library.
Training
| Steps | Mean reward (last 5 summaries) |
|---|---|
| 300,000 | 26.19 |
Full configuration: configuration.yaml / config.json.
Watch the agent play
- Go to https://huggingface.co/unity
- Find your model_id: zeynpakn/ppo-SnowballTarget
- Select the
SnowballTarget.onnxfile - Click on Watch the agent play 👀
Resume training
mlagents-learn <your_configuration_file_path.yaml> --run-id=<run_id> --resume
Course: https://huggingface.co/learn/deep-rl-course/unit5/introduction