Reinforcement Learning
Transformers
TensorBoard
ONNX
Pixelcopter-PLE-v0
reinforce
custom-implementation
deep-rl-class
Eval Results (legacy)
Instructions to use JiajingChen/9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JiajingChen/9 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("JiajingChen/9", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download hyperparameters.json from JiajingChen/9: direct link, hf CLI and curl.
- Browser
- Download file 187 Bytes
-
https://huggingface.co/JiajingChen/9/resolve/main/hyperparameters.json
- Command line
-
hf download hf://JiajingChen/9/hyperparameters.json
-
curl -L -o hyperparameters.json https://huggingface.co/JiajingChen/9/resolve/main/hyperparameters.json
187 Bytes
| {"h_size": 64, "n_training_episodes": 50000, "n_evaluation_episodes": 10, "max_t": 10000, "gamma": 0.99, "lr": 0.0002, "env_id": "Pixelcopter-PLE-v0", "state_space": 7, "action_space": 2} |