Reinforcement Learning
ml-agents
TensorBoard
ONNX
Pyramids
deep-reinforcement-learning
ML-Agents-Pyramids
Instructions to use Sachavsn/Pixelcopter-PLE-v0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use Sachavsn/Pixelcopter-PLE-v0 with ml-agents:
mlagents-load-from-hf --repo-id="Sachavsn/Pixelcopter-PLE-v0" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
Download hyperparameters.json from Sachavsn/Pixelcopter-PLE-v0: direct link, hf CLI and curl.
- Browser
- Download file 175 Bytes
-
https://huggingface.co/Sachavsn/Pixelcopter-PLE-v0/resolve/main/hyperparameters.json
- Command line
-
hf download hf://Sachavsn/Pixelcopter-PLE-v0/hyperparameters.json
-
curl -L -o hyperparameters.json https://huggingface.co/Sachavsn/Pixelcopter-PLE-v0/resolve/main/hyperparameters.json
175 Bytes
| {"h_size": 16, "n_training_episodes": 1000, "n_evaluation_episodes": 10, "max_t": 1000, "gamma": 1.0, "lr": 0.01, "env_id": "CartPole-v1", "state_space": 4, "action_space": 2} |