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julius-py
/
ppo-LunarLander-v2

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

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

  • Libraries
  • stable-baselines3

    How to use julius-py/ppo-LunarLander-v2 with stable-baselines3:

    from huggingface_sb3 import load_from_hub
    checkpoint = load_from_hub(
    	repo_id="julius-py/ppo-LunarLander-v2",
    	filename="{MODEL FILENAME}.zip",
    )
  • Notebooks
  • Google Colab
  • Kaggle
ppo-LunarLander-v2
769 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
julius-py's picture
julius-py
Add PPO LunarLander agent (best of 3 seeds, 5M timesteps)
df79234 verified about 2 months ago
  • .gitattributes
    1.52 kB
    initial commit about 2 months ago
  • README.md
    3.45 kB
    Add PPO LunarLander agent (best of 3 seeds, 5M timesteps) about 2 months ago
  • all_returns.npy

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    240 kB
    xet
    Add PPO LunarLander agent (best of 3 seeds, 5M timesteps) about 2 months ago
  • config.json
    587 Bytes
    Add PPO LunarLander agent (best of 3 seeds, 5M timesteps) about 2 months ago
  • eval_provenance.json
    1.2 kB
    Add PPO LunarLander agent (best of 3 seeds, 5M timesteps) about 2 months ago
  • ppo-LunarLander-v2.zip
    467 kB
    xet
    Add PPO LunarLander agent (best of 3 seeds, 5M timesteps) about 2 months ago
  • replay.mp4
    54.9 kB
    Add PPO LunarLander agent (best of 3 seeds, 5M timesteps) about 2 months ago
  • results.json
    190 Bytes
    Add PPO LunarLander agent (best of 3 seeds, 5M timesteps) about 2 months ago