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
| 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 |