Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Serotina/First-agent with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Serotina/First-agent with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Serotina/First-agent", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 2512316da14b625dcf3fe7160bbf2c839d66186c2c9d9892932203a2ea30eeb8
- Size of remote file:
- 147 kB
- SHA256:
- c746387c168627080607b6a2cc1ee9d9a874a2a02d0b52c1d535883ef5f11c52
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.