Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use garybake/TEST2ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use garybake/TEST2ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="garybake/TEST2ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download replay.mp4 from garybake/TEST2ppo-LunarLander-v2: direct link, hf CLI and curl.
- Browser
- Download file 263 kB
-
https://huggingface.co/garybake/TEST2ppo-LunarLander-v2/resolve/main/replay.mp4
- Command line
-
hf download hf://garybake/TEST2ppo-LunarLander-v2/replay.mp4
-
curl -L -o replay.mp4 https://huggingface.co/garybake/TEST2ppo-LunarLander-v2/resolve/main/replay.mp4
263 kB
- Xet hash:
- 6395d3fc06714109b7ca2df27c75d31d37e32e8bdc6e75d476a6a6d7d08c7440
- Size of remote file:
- 263 kB
- SHA256:
- e8de67b996abf32aecc9f495eec3846803bf91f6f33c5dfeb03d6cc72236d567
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