Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Parthi/DeepRLCource with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Parthi/DeepRLCource with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Parthi/DeepRLCource", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0f5003b00833c576ba4a28d2bb34ac1b9406753ebfe2783e873c50ea1a541cc0
- Size of remote file:
- 147 kB
- SHA256:
- 807a98b790c4b1775085c3710a5e38637267757d8a94863f1dcac7a312a671ff
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