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 replay.mp4 from LibRust/lunar_lander_model: direct link, hf CLI and curl.
- Browser
- Download file 154 kB
-
https://huggingface.co/LibRust/lunar_lander_model/resolve/main/replay.mp4
- Command line
-
hf download hf://LibRust/lunar_lander_model/replay.mp4
-
curl -L -o replay.mp4 https://huggingface.co/LibRust/lunar_lander_model/resolve/main/replay.mp4
154 kB
- Xet hash:
- 6f58d2cc4fee258177822835e3515041636b0be12376e55bae6f56af003706ac
- Size of remote file:
- 154 kB
- SHA256:
- 17cf3af4299a418cb11658c1fb7c9c402db3fc0cf47bde00d7f94d5c57c51344
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