Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use erandaheshan43/SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use erandaheshan43/SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="erandaheshan43/SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
Download optimize.py from erandaheshan43/SpaceInvadersNoFrameskip-v4: direct link, hf CLI and curl.
- Browser
- Download file 87 Bytes
-
https://huggingface.co/erandaheshan43/SpaceInvadersNoFrameskip-v4/resolve/main/optimize.py
- Command line
-
hf download hf://erandaheshan43/SpaceInvadersNoFrameskip-v4/optimize.py
-
curl -L -o optimize.py https://huggingface.co/erandaheshan43/SpaceInvadersNoFrameskip-v4/resolve/main/optimize.py
87 Bytes
| from rl_algo_impls.optimize import optimize | |
| if __name__ == "__main__": | |
| optimize() | |