Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Francesco-A/dqn-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Francesco-A/dqn-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Francesco-A/dqn-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 87653c17f2c0221f718f3fa1e045d7b9522cf93c4d2b630f2f22ce7b7130ac10
- Size of remote file:
- 244 kB
- SHA256:
- e34cd1687147d5955791faf96ccc836f230ab30dadf1ea7da99a3caf2fe3af37
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