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README.md
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from stable_baselines3 import ...
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from huggingface_sb3 import load_from_hub
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```
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from stable_baselines3 import ...
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from huggingface_sb3 import load_from_hub
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from stable_baselines3 import PPO
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from stable_baselines3.common.evaluation import evaluate_policy
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from stable_baselines3.common.env_util import make_vec_env
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repo_id = "kinkpunk/Lunar-Landing-Program"
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filename = "LunarProgram-PPO.zip"
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custom_objects = {
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"learning_rate": 0.0,
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"lr_schedule": lambda _: 0.0,
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"clip_range": lambda _: 0.0,
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}
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checkpoint = load_from_hub(repo_id, filename)
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model = PPO.load(checkpoint, custom_objects=custom_objects, print_system_info=True)
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env = make_vec_env('LunarLander-v2', n_envs=1)
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# Evaluate the model
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mean_reward, std_reward = evaluate_policy(model, env, n_eval_episodes=10, deterministic=True)
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# Print the results
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print('mean_reward={:.2f} +/- {:.2f}'.format(mean_reward, std_reward))
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```
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