Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use AndreyM/rl_course_luner_lander with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use AndreyM/rl_course_luner_lander with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="AndreyM/rl_course_luner_lander", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download replay.mp4 from AndreyM/rl_course_luner_lander: direct link, hf CLI and curl.
- Browser
- Download file 194 kB
-
https://huggingface.co/AndreyM/rl_course_luner_lander/resolve/main/replay.mp4
- Command line
-
hf download hf://AndreyM/rl_course_luner_lander/replay.mp4
-
curl -L -o replay.mp4 https://huggingface.co/AndreyM/rl_course_luner_lander/resolve/main/replay.mp4
194 kB
- Xet hash:
- 27edbbff4fdb6c2986f1a4425498f0e9d5e99575c4b48da74e3cf782ed88999e
- Size of remote file:
- 194 kB
- SHA256:
- 35f313342778515fee1ea7c22dafaa429884335b2db45448410034f63c203088
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