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sb3
/
tqc-PandaStack-v1

Reinforcement Learning
stable-baselines3
PandaStack-v1
deep-reinforcement-learning
Eval Results (legacy)
Model card Files Files and versions
xet
Community
1

Instructions to use sb3/tqc-PandaStack-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • stable-baselines3

    How to use sb3/tqc-PandaStack-v1 with stable-baselines3:

    from huggingface_sb3 import load_from_hub
    checkpoint = load_from_hub(
    	repo_id="sb3/tqc-PandaStack-v1",
    	filename="{MODEL FILENAME}.zip",
    )
  • Notebooks
  • Google Colab
  • Kaggle
tqc-PandaStack-v1
50.7 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 4 commits
qgallouedec's picture
qgallouedec HF Staff
Add link to Panda Gym paper (#1)
91037b5 over 2 years ago
  • tqc-PandaStack-v1
    Initial commit almost 4 years ago
  • .gitattributes
    1.22 kB
    Initial commit almost 4 years ago
  • README.md
    2.25 kB
    Add link to Panda Gym paper (#1) over 2 years ago
  • args.yml
    927 Bytes
    Initial commit almost 4 years ago
  • config.yml
    562 Bytes
    Initial commit almost 4 years ago
  • env_kwargs.yml
    3 Bytes
    Initial commit almost 4 years ago
  • replay.mp4
    502 kB
    xet
    Initial commit almost 4 years ago
  • results.json
    153 Bytes
    Initial commit almost 4 years ago
  • tqc-PandaStack-v1.zip

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    24.7 MB
    xet
    Initial commit almost 4 years ago
  • train_eval_metrics.zip

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    767 kB
    xet
    Initial commit almost 4 years ago