Reinforcement Learning
stable-baselines3
TensorBoard
LunarLander-v2
ppo
deep-reinforcement-learning
deep-rl-course
Eval Results (legacy)
Instructions to use Akshaykumar4321/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Akshaykumar4321/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Akshaykumar4321/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download model.pt from Akshaykumar4321/ppo-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 43.4 kB
-
https://huggingface.co/Akshaykumar4321/ppo-LunarLander-v2/resolve/main/model.pt
- Command line
-
hf download hf://Akshaykumar4321/ppo-LunarLander-v2/model.pt
-
curl -L -o model.pt https://huggingface.co/Akshaykumar4321/ppo-LunarLander-v2/resolve/main/model.pt
43.4 kB
- Xet hash:
- 289608d66ed34660b90fe745a8f28213ed3328e2be917f69f756a44249f0737a
- Size of remote file:
- 43.4 kB
- SHA256:
- cdc7243fe1beacd1dc9f0747a90adb5c57be409ba87daeec30050153356205f4
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