Reinforcement Learning
Transformers
TensorBoard
LunarLander-v2
ppo
deep-reinforcement-learning
custom-implementation
deep-rl-course
Eval Results (legacy)
Instructions to use robotman0/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use robotman0/ppo-LunarLander-v2 with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("robotman0/ppo-LunarLander-v2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download results.json from robotman0/ppo-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 172 Bytes
-
https://huggingface.co/robotman0/ppo-LunarLander-v2/resolve/main/results.json
- Command line
-
hf download hf://robotman0/ppo-LunarLander-v2/results.json
-
curl -L -o results.json https://huggingface.co/robotman0/ppo-LunarLander-v2/resolve/main/results.json
172 Bytes
| {"env_id": "LunarLander-v2", "mean_reward": -128.06150100249698, "std_reward": 57.1361883217084, "n_evaluation_episodes": 10, "eval_datetime": "2023-02-24T16:27:07.442650"} |