Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use dbarbedillo/dqn-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use dbarbedillo/dqn-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="dbarbedillo/dqn-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8fd92102e48a1d54eeb54410f3ab9e499526a4b7720f90b7e83950eb3f10f8b9
- Size of remote file:
- 267 kB
- SHA256:
- 2bec05b316c9ff36d15ea15044f2c247c60b705909381489def70fbf03deaefa
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