Reinforcement Learning
Transformers
CartPole-v1
reinforce
custom-implementation
deep-rl-class
Eval Results (legacy)
Instructions to use dungtd2403/CartPole-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use dungtd2403/CartPole-v1 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("dungtd2403/CartPole-v1", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download hyperparameters.json from dungtd2403/CartPole-v1: direct link, hf CLI and curl.
- Browser
- Download file 175 Bytes
-
https://huggingface.co/dungtd2403/CartPole-v1/resolve/main/hyperparameters.json
- Command line
-
hf download hf://dungtd2403/CartPole-v1/hyperparameters.json
-
curl -L -o hyperparameters.json https://huggingface.co/dungtd2403/CartPole-v1/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} |