Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use antof27/SpaceInvaders with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use antof27/SpaceInvaders with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="antof27/SpaceInvaders", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f69b0630ac7ce8b6bd3287aca1289de39843f9681b7e454c6c8dca7ebfd0e42
- Size of remote file:
- 27.2 MB
- SHA256:
- 47c046e935964b78320ac73bfc9c5c8ed499be29c4848fa25359fd149779f2d5
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.