Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use cryptoque/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use cryptoque/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="cryptoque/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Update README.md
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README.md
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## Define a repo_id
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## repo_id is the id of the model repository from the Hugging Face Hub (repo_id = {organization}/{repo_name} for instance ThomasSimonini/ppo-LunarLander-v2
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## CHANGE WITH YOUR REPO ID
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repo_id = "
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## Define the commit message
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commit_message = "Upload PPO LunarLander-v2 trained agent"
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## Define a repo_id
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## repo_id is the id of the model repository from the Hugging Face Hub (repo_id = {organization}/{repo_name} for instance ThomasSimonini/ppo-LunarLander-v2
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## CHANGE WITH YOUR REPO ID
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repo_id = "cryptoque/ppo-LunarLander-v2" # Change with your repo id, you can't push with mine 😄
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## Define the commit message
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commit_message = "Upload PPO LunarLander-v2 trained agent"
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