Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use InMDev/DeepQLearning-SpaceInvadersNoFrameskip with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use InMDev/DeepQLearning-SpaceInvadersNoFrameskip with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="InMDev/DeepQLearning-SpaceInvadersNoFrameskip", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b061222258f915fc526ce5833f5759f6fc89fd1dec1ef46922942051ab950f39
- Size of remote file:
- 4.51 kB
- SHA256:
- 17123a0b02e5f9450d5be75f20537d5f3f95a56de0a27254cf28d804eb7ae333
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