Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Lyra-L/dqn-SpaceInvadersUnit3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Lyra-L/dqn-SpaceInvadersUnit3 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Lyra-L/dqn-SpaceInvadersUnit3", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cc8e78d2d139ee1b867a5560007c15db53f26b03b502b3dfcdd68c590401b1f6
- Size of remote file:
- 36.6 kB
- SHA256:
- 444df737c9df1eaaca19814adfd98695c3e6aa1cc3a4b4ee48369ad2167a041f
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