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pudashi
/
Atari_small

Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use pudashi/Atari_small with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • stable-baselines3

    How to use pudashi/Atari_small with stable-baselines3:

    from huggingface_sb3 import load_from_hub
    checkpoint = load_from_hub(
    	repo_id="pudashi/Atari_small",
    	filename="{MODEL FILENAME}.zip",
    )
  • Notebooks
  • Google Colab
  • Kaggle
Atari_small
27.7 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
pudashi's picture
pudashi
Initial commit
f28c3e4 verified over 1 year ago
  • dqn-SpaceInvadersNoFrameskip-v4
    Initial commit over 1 year ago
  • .gitattributes
    1.56 kB
    Initial commit over 1 year ago
  • README.md
    2.75 kB
    Initial commit over 1 year ago
  • args.yml
    1.24 kB
    Initial commit over 1 year ago
  • config.yml
    548 Bytes
    Initial commit over 1 year ago
  • dqn-SpaceInvadersNoFrameskip-v4.zip
    13.7 MB
    xet
    Initial commit over 1 year ago
  • env_kwargs.yml
    23 Bytes
    Initial commit over 1 year ago
  • replay.mp4
    269 kB
    Initial commit over 1 year ago
  • results.json
    139 Bytes
    Initial commit over 1 year ago
  • train_eval_metrics.zip
    5.77 kB
    xet
    Initial commit over 1 year ago