Reinforcement Learning
stable-baselines3
deep-reinforcement-learning
atari
space-invaders
Eval Results (legacy)
Instructions to use PotentialRunner/dqn-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use PotentialRunner/dqn-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="PotentialRunner/dqn-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aa7ebc3fc914cf449df1ecd29a7db3ea31b7dbfa0e3958b1c05e3ae607d6628b
- Size of remote file:
- 559 kB
- SHA256:
- a660d4e5b42179fd9121b169c094a65f12b12b100336f1c2ce70d5877ad619fc
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