Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use pratsy/dqn-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use pratsy/dqn-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="pratsy/dqn-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1ac423efb5e7088512e998819b53a292e5a533edaaa59a172042d174e6eff5ef
- Size of remote file:
- 36.8 kB
- SHA256:
- 508744b35d14da2e39c2382a41d14468c4a6ec8fbd61a20fc1e4ee5de8adebaf
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