Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use LuckLin/dqn-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use LuckLin/dqn-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="LuckLin/dqn-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 63c45768fe3b1ce1296d1fa1407b1f374df582e66e506c4ffe8e76911b636c32
- Size of remote file:
- 224 kB
- SHA256:
- 2acbbe5c36fe7752c35e5089cdf890f42f1975a87e99cad92b0920a886200aff
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