Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use LibRust/lunar_lander_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use LibRust/lunar_lander_model with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="LibRust/lunar_lander_model", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download ppo-LunarLander-v2.zip from LibRust/lunar_lander_model: direct link, hf CLI and curl.
- Browser
- Download file 149 kB
-
https://huggingface.co/LibRust/lunar_lander_model/resolve/365e05db9bda3eb19cb67aeee6013a03693a5ad9/ppo-LunarLander-v2.zip
- Command line
-
hf download hf://LibRust/lunar_lander_model@365e05db9bda3eb19cb67aeee6013a03693a5ad9/ppo-LunarLander-v2.zip
-
curl -L -o ppo-LunarLander-v2.zip https://huggingface.co/LibRust/lunar_lander_model/resolve/365e05db9bda3eb19cb67aeee6013a03693a5ad9/ppo-LunarLander-v2.zip
149 kB
- Xet hash:
- 257d4533fe7f4c0874e305d3b4e7b386636452d12415f3a6c6fc2345df36ab66
- Size of remote file:
- 149 kB
- SHA256:
- 5854c4a914662348d62b6f19e937b8ed1547833fc0ef44c232571a65a89a4315
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