Reinforcement Learning
stable-baselines3
SpaceInvadersNoFrameskip-v4
deep-reinforcement-learning
Eval Results (legacy)
Instructions to use NPC007/dqn-SpaceInvadersNoFrameskip-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- stable-baselines3
How to use NPC007/dqn-SpaceInvadersNoFrameskip-v4 with stable-baselines3:
from huggingface_sb3 import load_from_hub checkpoint = load_from_hub( repo_id="NPC007/dqn-SpaceInvadersNoFrameskip-v4", filename="{MODEL FILENAME}.zip", ) - Notebooks
- Google Colab
- Kaggle
DQN Agent playing SpaceInvadersNoFrameskip-v4
This is a trained model of a DQN agent playing SpaceInvadersNoFrameskip-v4 using the stable-baselines3 library.
Usage
from stable_baselines3 import DQN
from huggingface_sb3 import load_from_hub
model = load_from_hub("NPC007/dqn-SpaceInvadersNoFrameskip-v4", "dqn-SpaceInvadersNoFrameskip-v4.zip")
- Downloads last month
- 6
Evaluation results
- mean_reward on SpaceInvadersNoFrameskip-v4self-reported680.00 +/- 45.00