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exploiter345
/
dqn_lunar_v2

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

Instructions to use exploiter345/dqn_lunar_v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • stable-baselines3

    How to use exploiter345/dqn_lunar_v2 with stable-baselines3:

    from huggingface_sb3 import load_from_hub
    checkpoint = load_from_hub(
    	repo_id="exploiter345/dqn_lunar_v2",
    	filename="{MODEL FILENAME}.zip",
    )
  • Notebooks
  • Google Colab
  • Kaggle
dqn_lunar_v2
437 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
exploiter345's picture
exploiter345
DQN lunar lander V2 trained for 500k, n_steps=2048, batch_size=128
fd9048b about 4 years ago
  • ishan_dqn_lunar_lander
    DQN lunar lander V2 trained for 500k, n_steps=2048, batch_size=128 about 4 years ago
  • .gitattributes
    1.22 kB
    DQN lunar lander V2 trained for 500k, n_steps=2048, batch_size=128 about 4 years ago
  • README.md
    677 Bytes
    DQN lunar lander V2 trained for 500k, n_steps=2048, batch_size=128 about 4 years ago
  • config.json
    21.9 kB
    DQN lunar lander V2 trained for 500k, n_steps=2048, batch_size=128 about 4 years ago
  • ishan_dqn_lunar_lander.zip

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    111 kB
    xet
    DQN lunar lander V2 trained for 500k, n_steps=2048, batch_size=128 about 4 years ago
  • replay.mp4
    192 kB
    xet
    DQN lunar lander V2 trained for 500k, n_steps=2048, batch_size=128 about 4 years ago
  • results.json
    164 Bytes
    DQN lunar lander V2 trained for 500k, n_steps=2048, batch_size=128 about 4 years ago