Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use ylzHug/DRL_Agent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use ylzHug/DRL_Agent with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="ylzHug/DRL_Agent", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 08e24217016776d3bb01d96b9930ceb633a9529b599aa4c511a4c3c767b12652
- Size of remote file:
- 151 kB
- SHA256:
- c1ee6d2be196b7ff9b643f061aa16463815cfeef28eb5f732c421a3dfdc43142
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