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Update README.md

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@@ -4,7 +4,7 @@ tags:
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  - reinforcement-learning
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  - stable-baselines3
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  ---
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- # "BekirTaha/ppo-LunarLander-v2"
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  This is a pre-trained model of a PPO agent playing LunarLander-v2 using the [stable-baselines3](https://github.com/DLR-RM/stable-baselines3) library.
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@@ -28,7 +28,7 @@ from stable_baselines3.common.evaluation import evaluate_policy
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  # Retrieve the model from the hub
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  ## repo_id = id of the model repository from the Hugging Face Hub (repo_id = {organization}/{repo_name})
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  ## filename = name of the model zip file from the repository
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- checkpoint = load_from_hub(repo_id="BekirTaha/ppo-LunarLander-v2", filename="LunarLander-v2.zip")
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  model = PPO.load(checkpoint)
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  # Evaluate the agent
 
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  - reinforcement-learning
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  - stable-baselines3
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  ---
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+ # "Beyko7/ppo-LunarLander-v2"
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  This is a pre-trained model of a PPO agent playing LunarLander-v2 using the [stable-baselines3](https://github.com/DLR-RM/stable-baselines3) library.
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  # Retrieve the model from the hub
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  ## repo_id = id of the model repository from the Hugging Face Hub (repo_id = {organization}/{repo_name})
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  ## filename = name of the model zip file from the repository
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+ checkpoint = load_from_hub(repo_id="Beyko7/ppo-LunarLander-v2", filename="LunarLander-v2.zip")
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  model = PPO.load(checkpoint)
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  # Evaluate the agent