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: 285 Bytes
59a9a2d | 1 2 3 4 5 6 7 8 9 10 11 12 | from abc import ABC, abstractmethod
class Callback(ABC):
def __init__(self) -> None:
super().__init__()
self.timesteps_elapsed = 0
def on_step(self, timesteps_elapsed: int = 1) -> bool:
self.timesteps_elapsed += timesteps_elapsed
return True |