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MaximeCerise
/
a2c-reach

Reinforcement Learning
stable-baselines3
PandaReachJointsDense-v3
deep-reinforcement-learning
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use MaximeCerise/a2c-reach with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • stable-baselines3

    How to use MaximeCerise/a2c-reach with stable-baselines3:

    from huggingface_sb3 import load_from_hub
    checkpoint = load_from_hub(
    	repo_id="MaximeCerise/a2c-reach",
    	filename="{MODEL FILENAME}.zip",
    )
  • Notebooks
  • Google Colab
  • Kaggle
a2c-reach
244 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
MaximeCerise's picture
MaximeCerise
v7
56a361e verified about 1 year ago
  • a2c-reach
    v7 about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    832 Bytes
    v7 about 1 year ago
  • a2c-reach.zip

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    114 kB
    xet
    v7 about 1 year ago
  • config.json
    14.7 kB
    v7 about 1 year ago
  • results.json
    167 Bytes
    v7 about 1 year ago