Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use Liphos/dqn-SpaceInvaders with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use Liphos/dqn-SpaceInvaders with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="Liphos/dqn-SpaceInvaders", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 73505ab78fcfe0b62c34f556c534249e8bddaeeb12d0d28bd4c8e00a8986ee91
- Size of remote file:
- 37.4 kB
- SHA256:
- 3720be3547374389fe16a0dc444815e567cedd28bbfb4eba446fb3a1ad868e54
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.