Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use seynath/SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use seynath/SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="seynath/SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
File size: 438 Bytes
59a9a2d | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | scipy >= 1.10.0, < 1.11 tensorboard >= ^2.11.0, < 2.12 AutoROM.accept-rom-license >= 0.4.2, < 0.5 stable-baselines3[extra] >= 1.7.0, < 1.8 gym[box2d] >= 0.21.0, < 0.22 pyglet == 1.5.27 wandb >= 0.13.10, < 0.14 pyvirtualdisplay == 3.0 pybullet >= 3.2.5, < 3.3 tabulate >= 0.9.0, < 0.10 huggingface-hub >= 0.12.0, < 0.13 numexpr >= 2.8.4, < 2.9 gym3 >= 0.3.3, < 0.4 glfw >= 1.12.0, < 1.13 procgen >= 0.10.7, < 0.11 ipython >= 8.10.0, < 8.11 |