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Emperor-WS
/
ppo-LunarLander-v2-2

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

Instructions to use Emperor-WS/ppo-LunarLander-v2-2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • stable-baselines3

    How to use Emperor-WS/ppo-LunarLander-v2-2 with stable-baselines3:

    from huggingface_sb3 import load_from_hub
    checkpoint = load_from_hub(
    	repo_id="Emperor-WS/ppo-LunarLander-v2-2",
    	filename="{MODEL FILENAME}.zip",
    )
  • Notebooks
  • Google Colab
  • Kaggle
ppo-LunarLander-v2-2
1.02 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Emperor-WS's picture
Emperor-WS
Initial commit
b7151ec about 2 years ago
  • ppo-LunarLander-v2
    Initial commit about 2 years ago
  • .gitattributes
    1.56 kB
    Initial commit about 2 years ago
  • README.md
    2.3 kB
    Initial commit about 2 years ago
  • args.yml
    1.23 kB
    Initial commit about 2 years ago
  • config.yml
    283 Bytes
    Initial commit about 2 years ago
  • env_kwargs.yml
    23 Bytes
    Initial commit about 2 years ago
  • ppo-LunarLander-v2.zip

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    150 kB
    xet
    Initial commit about 2 years ago
  • replay.mp4
    152 kB
    xet
    Initial commit about 2 years ago
  • results.json
    157 Bytes
    Initial commit about 2 years ago
  • train_eval_metrics.zip

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    565 kB
    xet
    Initial commit about 2 years ago