Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use NeoCodes-dev/lunar_model_May23 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use NeoCodes-dev/lunar_model_May23 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="NeoCodes-dev/lunar_model_May23", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a0c0423647042be5b0d3003462a205ff23463d8a987ff137c08e55c12d38eef
- Size of remote file:
- 147 kB
- SHA256:
- ac9c8dbdbf80729232aa7d90a6673f065ea48203fd314489b3da6248c4d1efe3
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