Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use auriolar/dqn-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use auriolar/dqn-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="auriolar/dqn-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 91b2540866258056249d2a82c6744614dfa8dcbe8b0b25fd08cf2b06e78f3ff8
- Size of remote file:
- 2.42 kB
- SHA256:
- 7c3ebdf5485e42975f3b1b32963b5e0014fd99a37484cc976913fd6a45e3e319
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