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hungtrab
/
LunarLander-v2-ppo-MlpPolicy

Reinforcement Learning
stable-baselines3
LunarLander-v2
deep-reinforcement-learning
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use hungtrab/LunarLander-v2-ppo-MlpPolicy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • stable-baselines3

    How to use hungtrab/LunarLander-v2-ppo-MlpPolicy with stable-baselines3:

    from huggingface_sb3 import load_from_hub
    checkpoint = load_from_hub(
    	repo_id="hungtrab/LunarLander-v2-ppo-MlpPolicy",
    	filename="{MODEL FILENAME}.zip",
    )
  • Notebooks
  • Google Colab
  • Kaggle
LunarLander-v2-ppo-MlpPolicy
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  • 1 contributor
History: 6 commits
hungtrab's picture
hungtrab
Update README.md
87d6dfd verified 9 months ago
  • ppo-LunarLander-v2
    Re-train the models and enhanced the repo 9 months ago
  • .gitattributes
    1.57 kB
    Training an agent on LunarLander-v2 environment using PPO with MlpPolicy 10 months ago
  • README.md
    1.46 kB
    Update README.md 9 months ago
  • config.json
    13.8 kB
    Re-train the models and enhanced the repo 9 months ago
  • ppo-LunarLander-v2.zip

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    149 kB
    xet
    Re-train the models and enhanced the repo 9 months ago
  • replay.mp4
    171 kB
    xet
    Re-train the models and enhanced the repo 9 months ago
  • results.json
    165 Bytes
    Re-train the models and enhanced the repo 9 months ago