Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use SimingSiming/ppo-LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use SimingSiming/ppo-LunarLander-v2 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="SimingSiming/ppo-LunarLander-v2", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): bc43fa4
Update README.md
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README.md
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## Usage (with Stable-baselines3)
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## Parameters
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model = PPO(
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policy = "MlpPolicy",
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env = env,
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learning_rate = 0.0001,
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n_steps = 1024,
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batch_size = 32,
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## Usage (with Stable-baselines3)
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## Parameters
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model = PPO(
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policy = "MlpPolicy", \\
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env = env, \\
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learning_rate = 0.0001,
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n_steps = 1024,
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batch_size = 32,
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