Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use CumulusAlpha/my_first_drl_practice with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use CumulusAlpha/my_first_drl_practice with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="CumulusAlpha/my_first_drl_practice", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2dd5096a97cdfe10f3fb607c55975dd98bc021386b5b62b34824078badd9148a
- Size of remote file:
- 148 kB
- SHA256:
- aaf00247c0716b6dde81f5d6ff67e5eca8c74494fa7002d0cff708aafbb10716
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