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Hans14
/
LunarLander-v2

Reinforcement Learning
Transformers
TensorBoard
LunarLander-v2
ppo
deep-reinforcement-learning
custom-implementation
deep-rl-course
Eval Results (legacy)
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use Hans14/LunarLander-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Hans14/LunarLander-v2 with Transformers:

    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Hans14/LunarLander-v2", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
LunarLander-v2
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
Hans14's picture
Hans14
Push agent to the Hub
d9e7b0c almost 3 years ago
  • logs
    Push agent to the Hub almost 3 years ago
  • pop-lunar-lander-test-2
    UPLOAD Model version 1 : no hyperparameter trained on 1M step PPO architecture. Mean_reward 263.07035025211746 +/- std_reward 15.52574254837321 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • README.md
    1.15 kB
    Push agent to the Hub almost 3 years ago
  • config.json
    12.8 kB
    UPLOAD Model version 1 : no hyperparameter trained on 1M step PPO architecture. Mean_reward 263.07035025211746 +/- std_reward 15.52574254837321 about 3 years ago
  • model.pt

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    42.6 kB
    xet
    Push agent to the Hub almost 3 years ago
  • pop-lunar-lander-test-2.zip

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    146 kB
    xet
    UPLOAD Model version 1 : no hyperparameter trained on 1M step PPO architecture. Mean_reward 263.07035025211746 +/- std_reward 15.52574254837321 about 3 years ago
  • replay.mp4
    25.3 kB
    Push agent to the Hub almost 3 years ago
  • results.json
    172 Bytes
    Push agent to the Hub almost 3 years ago